54684 Coding Jobs - Page 15

Experience : 8.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: Tableau, SQL, Python Forbes Advisor is Looking for: Job Description: Data Research Specialist - Tableau At Marketplace, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance, so they can make informed decisions they feel confident in and get back to doing the things they care about most. We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Marketplace boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Marketplace’s global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel. The Data Integrity Team is a brand new team with the purpose of ensuring all primary, publicly accessible data collected by our researchers is correct and accurate, allowing the insights produced from this data to be reliable. The Data Integrity team collaborates with other teams while also operating independently. Their responsibilities include monitoring data researched to ensure that errors are identified and caught as soon as possible, creating detective skills for looking for issues and mending them, setting up new configurations and ensuring they are correct, testing new developments to guarantee data quality is not compromised, visualizing data, automating processes, working with relevant technologies, and ensuring data governance and compliance. They play a crucial role in enabling data-driven decision-making and meeting the organization's data needs. A typical day in the life of a Tableau Data Integrity Specialist will involve guiding team members through tableau challenges whilst creating new reports and looking for the next set of possible quality assurance problems. They should understand how to automate systems, optimization techniques, and best practices in debugging, testing and looking for issues. They work closely with other team members, offering technical mentorship, as well as advanced Tableau, SQL and Python. Key Responsibilities: Technical Mentorship and Tableau Report Quality: Mentor team members on standards, optimization, and debugging, while conducting report reviews to enforce high consistent quality. Provide constructive feedback, and enforce quality standards. Technical Mentorship and Code Quality: Mentor team members on coding standards, optimization, and debugging while conducting code reviews to enforce high code quality. Provide constructive feedback, and enforce quality standards. Testing and Quality Assurance Leadership: Lead the development and implementation of rigorous testing protocols to ensure project reliability and advocate for automated test coverage. Process Improvement and Documentation: Establish and refine standards for version control, documentation, automation and task tracking to improve productivity and data quality. Continuously refine these processes to enhance team productivity, streamline workflows, and ensure data quality. Hands-On Technical Support: Provide expert troubleshooting support in Tableau, Python, MySQL helping the team resolve complex technical issues. Provide on-demand support to team members, helping them overcome technical challenges and improve their problem-solving skills. High-Level Technical Mentorship: Provide mentorship in advanced technical areas, including best practices, data visualization and programming. Guide the team in building scalable and reliable solutions to continually track and monitor data quality. Cross-Functional Collaboration: Partner with other teams to align tableau visualizations, data requirements, testing protocols, and process improvements. Foster open communication across teams to ensure seamless integration and delivery of data solutions. Continuous Learning and Improvement: Stay updated with emerging best practices, sharing relevant insights with the team. Drive a culture of continuous improvement, ensuring the team’s skills and processes evolve with industry standards. Data Pipelines: Design, implement and maintain scalable data pipelines for efficient data transfer, transformation, and visualization in production environments. Experience required: Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field. Equivalent experience in data engineering roles will also be considered. Leadership and Mentorship: Demonstrated ability to mentor and support junior and mid-level engineers, with a focus on fostering technical growth and improving team cohesion. Experience leading code reviews and guiding team members in problem-solving and troubleshooting. Technical Proficiency: Tableau: Advanced knowledge of Tableau and Tableau Prep Builder, with experience in creating efficient reports, data pipelines and workflows. Knowledge of Tableau Server Administration would be advantageous. Programming: Expert-level skills in MySQL and Python, with a strong understanding of code optimization, debugging, and testing. The ability to understand modular, reusable, and efficient code structures. Experience in implementing OOP best practices to enhance code organization and maintainability. Data Integrity & Validation Experience: Strong ability to assess, validate, and ensure the integrity of large datasets with experience in identifying data inconsistencies, anomalies, and patterns that indicate data quality issues. Proficient in designing and implementing data validation frameworks. Analytical & Problem-Solving Mindset: Critical thinking with a habit of asking "why"—why anomalies exist, why trends deviate, and what underlying factors are at play. Strong diagnostic skills to identify root causes of data issues and propose actionable solutions. Ability to work with ambiguous data and derive meaningful insights along with handling complex technical issues. Serve as a key resource for team troubleshooting, guiding others through debugging and technical problem-solving. Attention to Detail: Meticulous attention to data nuances, capable of spotting subtle discrepancies. Strong focus on data accuracy, completeness, and consistency across systems. Testing and QA Expertise: Proven experience in designing and implementing testing protocols, including unit, integration, and performance testing. Process-Driven Mindset: Strong experience with process improvement and documentation, particularly for coding standards, task tracking, and data management protocols. Strong Communication Skills: Ability to clearly articulate technical challenges, propose effective solutions, and align cross-functional teams on project requirements and data workflows. Strong at conveying complex ideas to both technical and non-technical stakeholders, ensuring transparency and collaboration. Skilled in documenting data issues, methodologies, and technical workflows for knowledge sharing. Adaptability and Continuous Learning: Stay updated on data engineering trends and foster a culture of continuous learning and process evolution within the team. Data Pipelines: Hands-on experience in building, maintaining, and optimizing ETL/ELT pipelines, including data transfer, transformation, and visualization, for real-world applications. Strong understanding of data workflows and ability to troubleshoot pipeline issues quickly with the ability to automate repetitive data processes to improve efficiency and reliability. Perks: Day off on the 3rd Friday of every month (one long weekend each month) Monthly Wellness Reimbursement Program to promote health well-being Monthly Office Commutation Reimbursement Program Paid paternity and maternity leaves How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 8.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: Tableau, SQL, Python Forbes Advisor is Looking for: Job Description: Data Research Specialist - Tableau At Marketplace, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance, so they can make informed decisions they feel confident in and get back to doing the things they care about most. We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Marketplace boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Marketplace’s global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel. The Data Integrity Team is a brand new team with the purpose of ensuring all primary, publicly accessible data collected by our researchers is correct and accurate, allowing the insights produced from this data to be reliable. The Data Integrity team collaborates with other teams while also operating independently. Their responsibilities include monitoring data researched to ensure that errors are identified and caught as soon as possible, creating detective skills for looking for issues and mending them, setting up new configurations and ensuring they are correct, testing new developments to guarantee data quality is not compromised, visualizing data, automating processes, working with relevant technologies, and ensuring data governance and compliance. They play a crucial role in enabling data-driven decision-making and meeting the organization's data needs. A typical day in the life of a Tableau Data Integrity Specialist will involve guiding team members through tableau challenges whilst creating new reports and looking for the next set of possible quality assurance problems. They should understand how to automate systems, optimization techniques, and best practices in debugging, testing and looking for issues. They work closely with other team members, offering technical mentorship, as well as advanced Tableau, SQL and Python. Key Responsibilities: Technical Mentorship and Tableau Report Quality: Mentor team members on standards, optimization, and debugging, while conducting report reviews to enforce high consistent quality. Provide constructive feedback, and enforce quality standards. Technical Mentorship and Code Quality: Mentor team members on coding standards, optimization, and debugging while conducting code reviews to enforce high code quality. Provide constructive feedback, and enforce quality standards. Testing and Quality Assurance Leadership: Lead the development and implementation of rigorous testing protocols to ensure project reliability and advocate for automated test coverage. Process Improvement and Documentation: Establish and refine standards for version control, documentation, automation and task tracking to improve productivity and data quality. Continuously refine these processes to enhance team productivity, streamline workflows, and ensure data quality. Hands-On Technical Support: Provide expert troubleshooting support in Tableau, Python, MySQL helping the team resolve complex technical issues. Provide on-demand support to team members, helping them overcome technical challenges and improve their problem-solving skills. High-Level Technical Mentorship: Provide mentorship in advanced technical areas, including best practices, data visualization and programming. Guide the team in building scalable and reliable solutions to continually track and monitor data quality. Cross-Functional Collaboration: Partner with other teams to align tableau visualizations, data requirements, testing protocols, and process improvements. Foster open communication across teams to ensure seamless integration and delivery of data solutions. Continuous Learning and Improvement: Stay updated with emerging best practices, sharing relevant insights with the team. Drive a culture of continuous improvement, ensuring the team’s skills and processes evolve with industry standards. Data Pipelines: Design, implement and maintain scalable data pipelines for efficient data transfer, transformation, and visualization in production environments. Experience required: Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field. Equivalent experience in data engineering roles will also be considered. Leadership and Mentorship: Demonstrated ability to mentor and support junior and mid-level engineers, with a focus on fostering technical growth and improving team cohesion. Experience leading code reviews and guiding team members in problem-solving and troubleshooting. Technical Proficiency: Tableau: Advanced knowledge of Tableau and Tableau Prep Builder, with experience in creating efficient reports, data pipelines and workflows. Knowledge of Tableau Server Administration would be advantageous. Programming: Expert-level skills in MySQL and Python, with a strong understanding of code optimization, debugging, and testing. The ability to understand modular, reusable, and efficient code structures. Experience in implementing OOP best practices to enhance code organization and maintainability. Data Integrity & Validation Experience: Strong ability to assess, validate, and ensure the integrity of large datasets with experience in identifying data inconsistencies, anomalies, and patterns that indicate data quality issues. Proficient in designing and implementing data validation frameworks. Analytical & Problem-Solving Mindset: Critical thinking with a habit of asking "why"—why anomalies exist, why trends deviate, and what underlying factors are at play. Strong diagnostic skills to identify root causes of data issues and propose actionable solutions. Ability to work with ambiguous data and derive meaningful insights along with handling complex technical issues. Serve as a key resource for team troubleshooting, guiding others through debugging and technical problem-solving. Attention to Detail: Meticulous attention to data nuances, capable of spotting subtle discrepancies. Strong focus on data accuracy, completeness, and consistency across systems. Testing and QA Expertise: Proven experience in designing and implementing testing protocols, including unit, integration, and performance testing. Process-Driven Mindset: Strong experience with process improvement and documentation, particularly for coding standards, task tracking, and data management protocols. Strong Communication Skills: Ability to clearly articulate technical challenges, propose effective solutions, and align cross-functional teams on project requirements and data workflows. Strong at conveying complex ideas to both technical and non-technical stakeholders, ensuring transparency and collaboration. Skilled in documenting data issues, methodologies, and technical workflows for knowledge sharing. Adaptability and Continuous Learning: Stay updated on data engineering trends and foster a culture of continuous learning and process evolution within the team. Data Pipelines: Hands-on experience in building, maintaining, and optimizing ETL/ELT pipelines, including data transfer, transformation, and visualization, for real-world applications. Strong understanding of data workflows and ability to troubleshoot pipeline issues quickly with the ability to automate repetitive data processes to improve efficiency and reliability. Perks: Day off on the 3rd Friday of every month (one long weekend each month) Monthly Wellness Reimbursement Program to promote health well-being Monthly Office Commutation Reimbursement Program Paid paternity and maternity leaves How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 8.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: Tableau, SQL, Python Forbes Advisor is Looking for: Job Description: Data Research Specialist - Tableau At Marketplace, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance, so they can make informed decisions they feel confident in and get back to doing the things they care about most. We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Marketplace boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Marketplace’s global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel. The Data Integrity Team is a brand new team with the purpose of ensuring all primary, publicly accessible data collected by our researchers is correct and accurate, allowing the insights produced from this data to be reliable. The Data Integrity team collaborates with other teams while also operating independently. Their responsibilities include monitoring data researched to ensure that errors are identified and caught as soon as possible, creating detective skills for looking for issues and mending them, setting up new configurations and ensuring they are correct, testing new developments to guarantee data quality is not compromised, visualizing data, automating processes, working with relevant technologies, and ensuring data governance and compliance. They play a crucial role in enabling data-driven decision-making and meeting the organization's data needs. A typical day in the life of a Tableau Data Integrity Specialist will involve guiding team members through tableau challenges whilst creating new reports and looking for the next set of possible quality assurance problems. They should understand how to automate systems, optimization techniques, and best practices in debugging, testing and looking for issues. They work closely with other team members, offering technical mentorship, as well as advanced Tableau, SQL and Python. Key Responsibilities: Technical Mentorship and Tableau Report Quality: Mentor team members on standards, optimization, and debugging, while conducting report reviews to enforce high consistent quality. Provide constructive feedback, and enforce quality standards. Technical Mentorship and Code Quality: Mentor team members on coding standards, optimization, and debugging while conducting code reviews to enforce high code quality. Provide constructive feedback, and enforce quality standards. Testing and Quality Assurance Leadership: Lead the development and implementation of rigorous testing protocols to ensure project reliability and advocate for automated test coverage. Process Improvement and Documentation: Establish and refine standards for version control, documentation, automation and task tracking to improve productivity and data quality. Continuously refine these processes to enhance team productivity, streamline workflows, and ensure data quality. Hands-On Technical Support: Provide expert troubleshooting support in Tableau, Python, MySQL helping the team resolve complex technical issues. Provide on-demand support to team members, helping them overcome technical challenges and improve their problem-solving skills. High-Level Technical Mentorship: Provide mentorship in advanced technical areas, including best practices, data visualization and programming. Guide the team in building scalable and reliable solutions to continually track and monitor data quality. Cross-Functional Collaboration: Partner with other teams to align tableau visualizations, data requirements, testing protocols, and process improvements. Foster open communication across teams to ensure seamless integration and delivery of data solutions. Continuous Learning and Improvement: Stay updated with emerging best practices, sharing relevant insights with the team. Drive a culture of continuous improvement, ensuring the team’s skills and processes evolve with industry standards. Data Pipelines: Design, implement and maintain scalable data pipelines for efficient data transfer, transformation, and visualization in production environments. Experience required: Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field. Equivalent experience in data engineering roles will also be considered. Leadership and Mentorship: Demonstrated ability to mentor and support junior and mid-level engineers, with a focus on fostering technical growth and improving team cohesion. Experience leading code reviews and guiding team members in problem-solving and troubleshooting. Technical Proficiency: Tableau: Advanced knowledge of Tableau and Tableau Prep Builder, with experience in creating efficient reports, data pipelines and workflows. Knowledge of Tableau Server Administration would be advantageous. Programming: Expert-level skills in MySQL and Python, with a strong understanding of code optimization, debugging, and testing. The ability to understand modular, reusable, and efficient code structures. Experience in implementing OOP best practices to enhance code organization and maintainability. Data Integrity & Validation Experience: Strong ability to assess, validate, and ensure the integrity of large datasets with experience in identifying data inconsistencies, anomalies, and patterns that indicate data quality issues. Proficient in designing and implementing data validation frameworks. Analytical & Problem-Solving Mindset: Critical thinking with a habit of asking "why"—why anomalies exist, why trends deviate, and what underlying factors are at play. Strong diagnostic skills to identify root causes of data issues and propose actionable solutions. Ability to work with ambiguous data and derive meaningful insights along with handling complex technical issues. Serve as a key resource for team troubleshooting, guiding others through debugging and technical problem-solving. Attention to Detail: Meticulous attention to data nuances, capable of spotting subtle discrepancies. Strong focus on data accuracy, completeness, and consistency across systems. Testing and QA Expertise: Proven experience in designing and implementing testing protocols, including unit, integration, and performance testing. Process-Driven Mindset: Strong experience with process improvement and documentation, particularly for coding standards, task tracking, and data management protocols. Strong Communication Skills: Ability to clearly articulate technical challenges, propose effective solutions, and align cross-functional teams on project requirements and data workflows. Strong at conveying complex ideas to both technical and non-technical stakeholders, ensuring transparency and collaboration. Skilled in documenting data issues, methodologies, and technical workflows for knowledge sharing. Adaptability and Continuous Learning: Stay updated on data engineering trends and foster a culture of continuous learning and process evolution within the team. Data Pipelines: Hands-on experience in building, maintaining, and optimizing ETL/ELT pipelines, including data transfer, transformation, and visualization, for real-world applications. Strong understanding of data workflows and ability to troubleshoot pipeline issues quickly with the ability to automate repetitive data processes to improve efficiency and reliability. Perks: Day off on the 3rd Friday of every month (one long weekend each month) Monthly Wellness Reimbursement Program to promote health well-being Monthly Office Commutation Reimbursement Program Paid paternity and maternity leaves How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Job Description NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Job Description A successful Customer Service Associate manages 5 to 10 customers and/ or one NIQ market and will be responsible for report and database management; will ensure timely delivery of reports, databases and effective change management in order to standardise and automate the deliverables. She/ He is expected to identify, investigate and co-ordinate data resolution, process or product related changes/ queries, and be the first point of contact (through CSO/ MSD) for designated customers, ensuring efficient customer experience. Responsibilities The person will execute, monitor, and continuously improve the delivery management and service-related tasks assigned to the workstream as report, database management, and data quality checks He/she will be an expert on NIQ processes and methodologies, playing an active role in improving deliverables’ quality & efficiency Delivering database and reports as per customer contractual terms, against stipulated success criteria and tracking mechanisms, aligning with customer on ways of working, and defining servicing elements of Joint Business Plan Responsible for Triaging of customer queries/ request (data, reports, resolution) across markets and customer category groups and tracking actions for improvement as needed Working closely with NielsenIQ teams for customer set up/ maintenance on coding and database tasks Execute process automation using tools like R/ Python/ Excel Macros and exploring the possibility of implementing AI/ML Work in partnership with stipulated market’s Customer Service teams in accordance with defined Job Aids and Process Design Adhere to Performance KPIs to improve quality performances (on time delivery and data accuracy) and maintain work discipline Operate in a hybrid physical-virtual and multi-cultural environment, liaising with stakeholders and colleagues Qualifications Master’s degree with preference to Marketing Must have C1 Level of proficiency in French speaking Analytical skills and aptitude for data and operational processes Good organization skills, meeting deadlines, and team player Project management aptitude (critical path, task sequencing, problem solving, etc.) Skew towards accuracy, proactivity and attention to details English language proficiency: writing and verbal Soft Skills Communicate clearly with customers Ability to translate technical details from different customer contexts Build network relationships in multi-cultural environment Troubleshooting using influencing skills Ability to work under pressure and ask for support when required Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

Introduction: A Career at HARMAN Digital Transformation Solutions (DTS) We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. As a member of HARMAN Lifestyle, you connect consumers with the power of superior sound. Contribute your talents to high-end, esteemed brands like JBL, Mark Levinson, and Revel Unite your passion for audio innovation with high-tech product development Create pitch-perfect, cutting-edge technology that elevates the listening experience About The Role We are looking for a highly skilled java backend developer. What You Will Do Coding, code reviews, debugging, troubleshooting, unit testing, effort estimation on Azure Infrastructure Deliver excellent quality of code. Create and review high/low level design documents. Implement and deliver it as code. Work with global client projects as a member of Harman team What You Need To Be Successful Must have : 3+ years of experience in JAVA, Spring boot , Postgres SQL, Gerrit, Linux, sonar cube. Expertise in microservices architecture, database concepts, deployment concepts. Handson: Experience in Visual Studio Code, Postman, putty, ssh, Linux, gitlab, JIRA,Confluence, using CI/CD tools, security tools like blackduck, VAMs. In working in Agile environment. Excellent team collaboration, communication skills. Big plus: experience in Apache Spark, Hadoop, Python. Bonus Points if You Have Bachelor’s degree required. What We Offer Flexible work environment, allowing for full-time remote work globally for positions that can be performed outside a HARMAN or customer location Access to employee discounts on world-class Harman and Samsung products (JBL, HARMAN Kardon, AKG, etc.) Extensive training opportunities through our own HARMAN University Competitive wellness benefits Tuition reimbursement “Be Brilliant” employee recognition and rewards program An inclusive and diverse work environment that fosters and encourages professional and personal development You Belong Here HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you – all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want. About HARMAN: Where Innovation Unleashes Next-Level Technology Ever since the 1920s, we’ve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected. Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today’s most sought-after performers, while our digital transformation solutions serve humanity by addressing the world’s ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other. If you’re ready to innovate and do work that makes a lasting impact, join our talent community today! HARMAN is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or Protected Veterans status. HARMAN offers a great work environment, challenging career opportunities, professional training, and competitive compensation. (www.harman.com)

Description We are looking for a highly skilled Data Scientist to join our AI Center of Excellence (CoE) in Pune. This role involves working on complex financial datasets, building machine learning models, and delivering data-driven insights that support business decisions and product innovation. The ideal candidate should be hands-on, analytical, and passionate about solving real-world problems through data. Requirements Required Skills & Experience: 4–6 years of proven experience in Data Science, preferably in the finance or FinTech industry. Strong coding skills in Python, R, and SQL. Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch. Solid foundation in statistical modeling, data analysis, and deep learning. Familiarity with cloud platforms like AWS, Azure, or GCP. Proficiency in data visualization tools such as Power BI, Tableau, or Matplotlib. Excellent communication skills to effectively present data-driven insights. Preferred Qualifications: Master’s or Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field. Exposure to NLP, generative AI, or large language models. Experience with MLOps practices for deploying and monitoring models. This position is based in Pune and requires immediate joining. Hybrid or in-office availability is expected based on project needs. Job responsibilities Key Responsibilities: Analyze large-scale financial datasets to extract meaningful insights and trends. Develop and deploy machine learning models for predictive analytics and decision support. Translate business challenges into data science problems and propose appropriate solutions. Collaborate with product and business teams to build and implement data-driven features and tools. Communicate analytical findings clearly through visualizations and presentations for non-technical stakeholders. Continuously explore and adopt emerging tools, techniques, and best practices in AI/ML. What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

Apply Now Bangkok, Thailand About Agoda Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world. Our Purpose – Bridging the World Through Travel We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness. We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone. Get to Know our Team: The Full Stack Engineering Department builds the Agoda web and app products. We have several teams in front-end focusing on different aspects of our products including accommodations, flights, payments, marketing, post-booking services, and more. Agoda’s marketplace is the world. We build localized and optimized user experiences at scale on every major internet platform. These include our mobile websites, native apps, and desktop sites. We hire people from around the world who have a passion for using technology to create and implement the best user experiences. Our teams work on the full stack and build end-to-end systems including user interfaces, APIs, backend systems, and database systems. Our products are always evolving and under experimentation. We accomplish this by having an amazing degree of automation, CI/CD systems, and use a modularized approach. As we are data driven and measure our results, we continually innovate and improve our work. We are looking for the next great talent who strives to learn and grow and has a standard of excellence, strong sense of ownership, and great technical skills. The Opportunity: We are looking for key contributors to our industry leading front-end websites. You’ll be working on products which have evolved tremendously over the past several years to become the global market leader. You’ll be using the most current technologies and best practices to accomplish our goals. Our typical day involves the creation of new end to end systems, building advanced architectures, creation of new features on our high uptime / frequently published websites and apps, development of fast and reliable automated testing systems and working in a culture that is always looking to improve our quality, tools, and efficiency. In this Role, you’ll get to: Lead development of features, experiments, technical projects and complex systems Be a technical architect, mentor, and driver towards the right technology Build high volume websites with current technologies including TS, React, and GraphQL Continue to evolve our architecture and build better software Be a major contributor to our agile and scrum practices Get involved with full stack engineering and collaborate with server, other client, and infrastructure technical team members to build the best solution What you’ll Need to Succeed: 5+ years of experience developing web applications in client-side frameworks such as React, Angular, VueJS, etc B.S. in Computer Science or quantitative field; M.S. preferred Working experience with agile, analytics, A/B testing and/or feature flags, Continuous Delivery, Trunk-based Development Excellent HTML/CSS skills – you understand not only how to build the data, but how to make it look great too Excellent understanding of object-oriented JavaScript, TypeScript You love new technologies and approaches and want to use the best tools available. We want people who can help us continually evolve our stack Great communication and coordination skills Excellent analytical thinking and problem-solving skills You have a good command of the English language It’s Great if you have: Knowledge in physical architecture at scale, building resilient, no single point of failures, highly available solutions Knowledge in one or more of the following: NoSQL technologies (Cassandra, ScyllaDB, ElasticSearch, Redis, DynamoDB, etc), Queueing system experience (Kafka, RabbitMQ, SQS, Azure Service Bus, etc) Working Experience with Containers and Dockerization, also K8S is a plus Knowledge and hands on experience in CI/CD solutions would be a plus Strong experience in all aspects of client-side performance optimization, Extremely proficient in modern coding and design practices. For example, Clean Code, SOLID principals, and TDD Experience in multiple front-end platforms including iOS, Android, Web, and API services Have worked on an app or internet company that is at scale with large numbers of users and transactions per second Have experience in a data driven company with experience analyzing and working with Big Data Lead teams and greenfield projects solving large system problems Worked on global projects serving world markets with distributed data centers and localization of the front end and data This position is based in Bangkok, Thailand (Relocation Provided) #bangalore #sanfrancisco #newyork #seattle #hyderabad #Pune #London #Delhi #Chennai #Toronto #Dallas #losangeles #washingtonDC #Austin #Chicago #Atlanta #SaoPaulo #mumbai #vancouver #IT #ENG #4 Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee. Copy Link Line WeChat LinkedIn Email

Apply Now Bangkok, Thailand About Agoda Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world. Our Purpose – Bridging the World Through Travel We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness. We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone. About Agoda Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world. Our Purpose – Bridging the World Through Travel We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness. We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone. Get to Know our Team Join Agoda’s Wallet team to help build and scale innovative financial products for travelers. This is a greenfield project using the latest technology stack, offering the chance to work on high-impact solutions in a collaborative, fast-paced environment. The Opportunity We are looking for Software Engineers to join our Payment team. You’ll play a key role in designing, developing, and scaling new payment features, supporting multi-currency conversion and card issuance for global travelers. You’ll be using the most current technologies and best practices to accomplish our goals. Our typical day involves the creation of new end-to-end systems, building advanced architecture, developing new features, and working in a culture that is always looking to improve our quality, tools, and efficiency. In this Role, you’ll get to: Design, develop, and maintain robust, scalable, and secure features for the payment system Collaborate with cross-functional teams to deliver high-quality solutions aligned with business goals Participate in code reviews, technical discussions, and contribute to best practices Troubleshoot, debug, and optimize systems for performance and reliability Stay up-to-date with industry trends and emerging technologies in payments and digital wallets Contribute to a greenfield project with ambitious long-term plans, tackling real-time foreign exchange and hedging challenges What you’ll Need to Succeed: Overall experience of 5+ years of experience developing web applications in client-side frameworks especially React.js 3+ years of experience in fintech or traditional finance with FX (foreign exchange) experience B.S. in Computer Science or quantitative field; M.S. preferred Working experience with agile, analytics, A/B testing and/or feature flags, Continuous Delivery, Trunk-based Development Excellent HTML/CSS skills – you understand not only how to build the data, but how to make it look great too Excellent understanding of object-oriented TypeScript You love new technologies and approaches and want to use the best tools available. We want people who can help us continually evolve our stack Great communication and coordination skills Excellent analytical thinking and problem-solving skills You have a good command of the English language It’s Great if you have: Familiarity with card issuing, FX, or FX quote/rates or VDC (Virtual Debit Card) Experience working in agile, cross-functional teams Knowledge in physical architecture at scale, building resilient, no single point of failures, highly available solutions Knowledge in one or more of the following: NoSQL technologies (Cassandra, ScyllaDB, ElasticSearch, Redis, DynamoDB, etc), Queueing system experience (Kafka, RabbitMQ, SQS, Azure Service Bus, etc) Working Experience with Containers and Dockerization, also K8S is a plus Knowledge and hands on experience in CI/CD solutions would be a plus Strong experience in all aspects of client-side performance optimization Extremely proficient in modern coding and design practices. For example, Clean Code, SOLID principals, and TDD Experience in multiple front-end platforms including iOS, Android, Web, and API services Have worked on an app or internet company that is at scale with large numbers of users and transactions per second Have experience in a data driven company with experience analyzing and working with Big Data Lead teams and greenfield projects solving large system problems Worked on global projects serving world markets with distributed data centers and localization of the front end and data This position is based in Bangkok, Thailand (Relocation Provided) #bangalore #sanfrancisco #newyork #seattle #hyderabad #Pune #London #Delhi #Chennai #Toronto #Dallas #losangeles #washingtonDC #Austin #Chicago #Atlanta #SaoPaulo #mumbai #vancouver #IT #ENG #4 Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee. Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee. Copy Link Line WeChat LinkedIn Email

Apply Now Bangkok, Thailand About Agoda Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world. Our Purpose – Bridging the World Through Travel We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness. We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone. About Agoda Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world. Our Purpose – Bridging the World Through Travel We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness. We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone. Get to Know our Team Join Agoda’s Wallet team to help build and scale innovative financial products for travelers. This is a greenfield project using the latest technology stack, offering the chance to work on high-impact solutions in a collaborative, fast-paced environment. The Opportunity We are looking for Software Engineers to join our Payment team. You’ll play a key role in designing, developing, and scaling new payment features, supporting multi-currency conversion and card issuance for global travelers. You’ll be using the most current technologies and best practices to accomplish our goals. Our typical day involves the creation of new end-to-end systems, building advanced architecture, developing new features, and working in a culture that is always looking to improve our quality, tools, and efficiency. In this Role, you’ll get to: Design, develop, and maintain robust, scalable, and secure features for the payment system Collaborate with cross-functional teams to deliver high-quality solutions aligned with business goals Participate in code reviews, technical discussions, and contribute to best practices Troubleshoot, debug, and optimize systems for performance and reliability Stay up-to-date with industry trends and emerging technologies in payments and digital wallets Contribute to a greenfield project with ambitious long-term plans, tackling real-time foreign exchange and hedging challenges What you’ll Need to Succeed: Overall experience of 5+ years of experience developing web applications in client-side frameworks especially React.js Backend: Prefer experience with Java, C#, Scala, Golang or Kotlin 3+ years of experience in fintech or traditional finance with FX (foreign exchange) experience B.S. in Computer Science or quantitative field; M.S. preferred Working experience with agile, analytics, A/B testing and/or feature flags, Continuous Delivery, Trunk-based Development Excellent HTML/CSS skills – you understand not only how to build the data, but how to make it look great too Excellent understanding of object-oriented TypeScript You love new technologies and approaches and want to use the best tools available. We want people who can help us continually evolve our stack Great communication and coordination skills Excellent analytical thinking and problem-solving skills You have a good command of the English language It’s Great if you have: Familiarity with card issuing, FX, or FX quote/rates or VDC (Virtual Debit Card) Experience working in agile, cross-functional teams Knowledge in physical architecture at scale, building resilient, no single point of failures, highly available solutions Knowledge in one or more of the following: NoSQL technologies (Cassandra, ScyllaDB, ElasticSearch, Redis, DynamoDB, etc), Queueing system experience (Kafka, RabbitMQ, SQS, Azure Service Bus, etc) Working Experience with Containers and Dockerization, also K8S is a plus Knowledge and hands on experience in CI/CD solutions would be a plus Strong experience in all aspects of client-side performance optimization Extremely proficient in modern coding and design practices. For example, Clean Code, SOLID principals, and TDD Experience in multiple front-end platforms including iOS, Android, Web, and API services Have worked on an app or internet company that is at scale with large numbers of users and transactions per second Have experience in a data driven company with experience analyzing and working with Big Data Lead teams and greenfield projects solving large system problems Worked on global projects serving world markets with distributed data centers and localization of the front end and data This position is based in Bangkok, Thailand (Relocation Provided) #bangalore #sanfrancisco #newyork #seattle #hyderabad #Pune #London #Delhi #Chennai #Toronto #Dallas #losangeles #washingtonDC #Austin #Chicago #Atlanta #SaoPaulo #mumbai #vancouver #IT #ENG #4 Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee. Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee. Copy Link Line WeChat LinkedIn Email

Experience : 8.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: Tableau, SQL, Python Forbes Advisor is Looking for: Job Description: Data Research Specialist - Tableau At Marketplace, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance, so they can make informed decisions they feel confident in and get back to doing the things they care about most. We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Marketplace boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Marketplace’s global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel. The Data Integrity Team is a brand new team with the purpose of ensuring all primary, publicly accessible data collected by our researchers is correct and accurate, allowing the insights produced from this data to be reliable. The Data Integrity team collaborates with other teams while also operating independently. Their responsibilities include monitoring data researched to ensure that errors are identified and caught as soon as possible, creating detective skills for looking for issues and mending them, setting up new configurations and ensuring they are correct, testing new developments to guarantee data quality is not compromised, visualizing data, automating processes, working with relevant technologies, and ensuring data governance and compliance. They play a crucial role in enabling data-driven decision-making and meeting the organization's data needs. A typical day in the life of a Tableau Data Integrity Specialist will involve guiding team members through tableau challenges whilst creating new reports and looking for the next set of possible quality assurance problems. They should understand how to automate systems, optimization techniques, and best practices in debugging, testing and looking for issues. They work closely with other team members, offering technical mentorship, as well as advanced Tableau, SQL and Python. Key Responsibilities: Technical Mentorship and Tableau Report Quality: Mentor team members on standards, optimization, and debugging, while conducting report reviews to enforce high consistent quality. Provide constructive feedback, and enforce quality standards. Technical Mentorship and Code Quality: Mentor team members on coding standards, optimization, and debugging while conducting code reviews to enforce high code quality. Provide constructive feedback, and enforce quality standards. Testing and Quality Assurance Leadership: Lead the development and implementation of rigorous testing protocols to ensure project reliability and advocate for automated test coverage. Process Improvement and Documentation: Establish and refine standards for version control, documentation, automation and task tracking to improve productivity and data quality. Continuously refine these processes to enhance team productivity, streamline workflows, and ensure data quality. Hands-On Technical Support: Provide expert troubleshooting support in Tableau, Python, MySQL helping the team resolve complex technical issues. Provide on-demand support to team members, helping them overcome technical challenges and improve their problem-solving skills. High-Level Technical Mentorship: Provide mentorship in advanced technical areas, including best practices, data visualization and programming. Guide the team in building scalable and reliable solutions to continually track and monitor data quality. Cross-Functional Collaboration: Partner with other teams to align tableau visualizations, data requirements, testing protocols, and process improvements. Foster open communication across teams to ensure seamless integration and delivery of data solutions. Continuous Learning and Improvement: Stay updated with emerging best practices, sharing relevant insights with the team. Drive a culture of continuous improvement, ensuring the team’s skills and processes evolve with industry standards. Data Pipelines: Design, implement and maintain scalable data pipelines for efficient data transfer, transformation, and visualization in production environments. Experience required: Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field. Equivalent experience in data engineering roles will also be considered. Leadership and Mentorship: Demonstrated ability to mentor and support junior and mid-level engineers, with a focus on fostering technical growth and improving team cohesion. Experience leading code reviews and guiding team members in problem-solving and troubleshooting. Technical Proficiency: Tableau: Advanced knowledge of Tableau and Tableau Prep Builder, with experience in creating efficient reports, data pipelines and workflows. Knowledge of Tableau Server Administration would be advantageous. Programming: Expert-level skills in MySQL and Python, with a strong understanding of code optimization, debugging, and testing. The ability to understand modular, reusable, and efficient code structures. Experience in implementing OOP best practices to enhance code organization and maintainability. Data Integrity & Validation Experience: Strong ability to assess, validate, and ensure the integrity of large datasets with experience in identifying data inconsistencies, anomalies, and patterns that indicate data quality issues. Proficient in designing and implementing data validation frameworks. Analytical & Problem-Solving Mindset: Critical thinking with a habit of asking "why"—why anomalies exist, why trends deviate, and what underlying factors are at play. Strong diagnostic skills to identify root causes of data issues and propose actionable solutions. Ability to work with ambiguous data and derive meaningful insights along with handling complex technical issues. Serve as a key resource for team troubleshooting, guiding others through debugging and technical problem-solving. Attention to Detail: Meticulous attention to data nuances, capable of spotting subtle discrepancies. Strong focus on data accuracy, completeness, and consistency across systems. Testing and QA Expertise: Proven experience in designing and implementing testing protocols, including unit, integration, and performance testing. Process-Driven Mindset: Strong experience with process improvement and documentation, particularly for coding standards, task tracking, and data management protocols. Strong Communication Skills: Ability to clearly articulate technical challenges, propose effective solutions, and align cross-functional teams on project requirements and data workflows. Strong at conveying complex ideas to both technical and non-technical stakeholders, ensuring transparency and collaboration. Skilled in documenting data issues, methodologies, and technical workflows for knowledge sharing. Adaptability and Continuous Learning: Stay updated on data engineering trends and foster a culture of continuous learning and process evolution within the team. Data Pipelines: Hands-on experience in building, maintaining, and optimizing ETL/ELT pipelines, including data transfer, transformation, and visualization, for real-world applications. Strong understanding of data workflows and ability to troubleshoot pipeline issues quickly with the ability to automate repetitive data processes to improve efficiency and reliability. Perks: Day off on the 3rd Friday of every month (one long weekend each month) Monthly Wellness Reimbursement Program to promote health well-being Monthly Office Commutation Reimbursement Program Paid paternity and maternity leaves How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 8.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: Tableau, SQL, Python Forbes Advisor is Looking for: Job Description: Data Research Specialist - Tableau At Marketplace, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance, so they can make informed decisions they feel confident in and get back to doing the things they care about most. We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Marketplace boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Marketplace’s global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel. The Data Integrity Team is a brand new team with the purpose of ensuring all primary, publicly accessible data collected by our researchers is correct and accurate, allowing the insights produced from this data to be reliable. The Data Integrity team collaborates with other teams while also operating independently. Their responsibilities include monitoring data researched to ensure that errors are identified and caught as soon as possible, creating detective skills for looking for issues and mending them, setting up new configurations and ensuring they are correct, testing new developments to guarantee data quality is not compromised, visualizing data, automating processes, working with relevant technologies, and ensuring data governance and compliance. They play a crucial role in enabling data-driven decision-making and meeting the organization's data needs. A typical day in the life of a Tableau Data Integrity Specialist will involve guiding team members through tableau challenges whilst creating new reports and looking for the next set of possible quality assurance problems. They should understand how to automate systems, optimization techniques, and best practices in debugging, testing and looking for issues. They work closely with other team members, offering technical mentorship, as well as advanced Tableau, SQL and Python. Key Responsibilities: Technical Mentorship and Tableau Report Quality: Mentor team members on standards, optimization, and debugging, while conducting report reviews to enforce high consistent quality. Provide constructive feedback, and enforce quality standards. Technical Mentorship and Code Quality: Mentor team members on coding standards, optimization, and debugging while conducting code reviews to enforce high code quality. Provide constructive feedback, and enforce quality standards. Testing and Quality Assurance Leadership: Lead the development and implementation of rigorous testing protocols to ensure project reliability and advocate for automated test coverage. Process Improvement and Documentation: Establish and refine standards for version control, documentation, automation and task tracking to improve productivity and data quality. Continuously refine these processes to enhance team productivity, streamline workflows, and ensure data quality. Hands-On Technical Support: Provide expert troubleshooting support in Tableau, Python, MySQL helping the team resolve complex technical issues. Provide on-demand support to team members, helping them overcome technical challenges and improve their problem-solving skills. High-Level Technical Mentorship: Provide mentorship in advanced technical areas, including best practices, data visualization and programming. Guide the team in building scalable and reliable solutions to continually track and monitor data quality. Cross-Functional Collaboration: Partner with other teams to align tableau visualizations, data requirements, testing protocols, and process improvements. Foster open communication across teams to ensure seamless integration and delivery of data solutions. Continuous Learning and Improvement: Stay updated with emerging best practices, sharing relevant insights with the team. Drive a culture of continuous improvement, ensuring the team’s skills and processes evolve with industry standards. Data Pipelines: Design, implement and maintain scalable data pipelines for efficient data transfer, transformation, and visualization in production environments. Experience required: Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field. Equivalent experience in data engineering roles will also be considered. Leadership and Mentorship: Demonstrated ability to mentor and support junior and mid-level engineers, with a focus on fostering technical growth and improving team cohesion. Experience leading code reviews and guiding team members in problem-solving and troubleshooting. Technical Proficiency: Tableau: Advanced knowledge of Tableau and Tableau Prep Builder, with experience in creating efficient reports, data pipelines and workflows. Knowledge of Tableau Server Administration would be advantageous. Programming: Expert-level skills in MySQL and Python, with a strong understanding of code optimization, debugging, and testing. The ability to understand modular, reusable, and efficient code structures. Experience in implementing OOP best practices to enhance code organization and maintainability. Data Integrity & Validation Experience: Strong ability to assess, validate, and ensure the integrity of large datasets with experience in identifying data inconsistencies, anomalies, and patterns that indicate data quality issues. Proficient in designing and implementing data validation frameworks. Analytical & Problem-Solving Mindset: Critical thinking with a habit of asking "why"—why anomalies exist, why trends deviate, and what underlying factors are at play. Strong diagnostic skills to identify root causes of data issues and propose actionable solutions. Ability to work with ambiguous data and derive meaningful insights along with handling complex technical issues. Serve as a key resource for team troubleshooting, guiding others through debugging and technical problem-solving. Attention to Detail: Meticulous attention to data nuances, capable of spotting subtle discrepancies. Strong focus on data accuracy, completeness, and consistency across systems. Testing and QA Expertise: Proven experience in designing and implementing testing protocols, including unit, integration, and performance testing. Process-Driven Mindset: Strong experience with process improvement and documentation, particularly for coding standards, task tracking, and data management protocols. Strong Communication Skills: Ability to clearly articulate technical challenges, propose effective solutions, and align cross-functional teams on project requirements and data workflows. Strong at conveying complex ideas to both technical and non-technical stakeholders, ensuring transparency and collaboration. Skilled in documenting data issues, methodologies, and technical workflows for knowledge sharing. Adaptability and Continuous Learning: Stay updated on data engineering trends and foster a culture of continuous learning and process evolution within the team. Data Pipelines: Hands-on experience in building, maintaining, and optimizing ETL/ELT pipelines, including data transfer, transformation, and visualization, for real-world applications. Strong understanding of data workflows and ability to troubleshoot pipeline issues quickly with the ability to automate repetitive data processes to improve efficiency and reliability. Perks: Day off on the 3rd Friday of every month (one long weekend each month) Monthly Wellness Reimbursement Program to promote health well-being Monthly Office Commutation Reimbursement Program Paid paternity and maternity leaves How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 8.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: Tableau, SQL, Python Forbes Advisor is Looking for: Job Description: Data Research Specialist - Tableau At Marketplace, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance, so they can make informed decisions they feel confident in and get back to doing the things they care about most. We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Marketplace boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Marketplace’s global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel. The Data Integrity Team is a brand new team with the purpose of ensuring all primary, publicly accessible data collected by our researchers is correct and accurate, allowing the insights produced from this data to be reliable. The Data Integrity team collaborates with other teams while also operating independently. Their responsibilities include monitoring data researched to ensure that errors are identified and caught as soon as possible, creating detective skills for looking for issues and mending them, setting up new configurations and ensuring they are correct, testing new developments to guarantee data quality is not compromised, visualizing data, automating processes, working with relevant technologies, and ensuring data governance and compliance. They play a crucial role in enabling data-driven decision-making and meeting the organization's data needs. A typical day in the life of a Tableau Data Integrity Specialist will involve guiding team members through tableau challenges whilst creating new reports and looking for the next set of possible quality assurance problems. They should understand how to automate systems, optimization techniques, and best practices in debugging, testing and looking for issues. They work closely with other team members, offering technical mentorship, as well as advanced Tableau, SQL and Python. Key Responsibilities: Technical Mentorship and Tableau Report Quality: Mentor team members on standards, optimization, and debugging, while conducting report reviews to enforce high consistent quality. Provide constructive feedback, and enforce quality standards. Technical Mentorship and Code Quality: Mentor team members on coding standards, optimization, and debugging while conducting code reviews to enforce high code quality. Provide constructive feedback, and enforce quality standards. Testing and Quality Assurance Leadership: Lead the development and implementation of rigorous testing protocols to ensure project reliability and advocate for automated test coverage. Process Improvement and Documentation: Establish and refine standards for version control, documentation, automation and task tracking to improve productivity and data quality. Continuously refine these processes to enhance team productivity, streamline workflows, and ensure data quality. Hands-On Technical Support: Provide expert troubleshooting support in Tableau, Python, MySQL helping the team resolve complex technical issues. Provide on-demand support to team members, helping them overcome technical challenges and improve their problem-solving skills. High-Level Technical Mentorship: Provide mentorship in advanced technical areas, including best practices, data visualization and programming. Guide the team in building scalable and reliable solutions to continually track and monitor data quality. Cross-Functional Collaboration: Partner with other teams to align tableau visualizations, data requirements, testing protocols, and process improvements. Foster open communication across teams to ensure seamless integration and delivery of data solutions. Continuous Learning and Improvement: Stay updated with emerging best practices, sharing relevant insights with the team. Drive a culture of continuous improvement, ensuring the team’s skills and processes evolve with industry standards. Data Pipelines: Design, implement and maintain scalable data pipelines for efficient data transfer, transformation, and visualization in production environments. Experience required: Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field. Equivalent experience in data engineering roles will also be considered. Leadership and Mentorship: Demonstrated ability to mentor and support junior and mid-level engineers, with a focus on fostering technical growth and improving team cohesion. Experience leading code reviews and guiding team members in problem-solving and troubleshooting. Technical Proficiency: Tableau: Advanced knowledge of Tableau and Tableau Prep Builder, with experience in creating efficient reports, data pipelines and workflows. Knowledge of Tableau Server Administration would be advantageous. Programming: Expert-level skills in MySQL and Python, with a strong understanding of code optimization, debugging, and testing. The ability to understand modular, reusable, and efficient code structures. Experience in implementing OOP best practices to enhance code organization and maintainability. Data Integrity & Validation Experience: Strong ability to assess, validate, and ensure the integrity of large datasets with experience in identifying data inconsistencies, anomalies, and patterns that indicate data quality issues. Proficient in designing and implementing data validation frameworks. Analytical & Problem-Solving Mindset: Critical thinking with a habit of asking "why"—why anomalies exist, why trends deviate, and what underlying factors are at play. Strong diagnostic skills to identify root causes of data issues and propose actionable solutions. Ability to work with ambiguous data and derive meaningful insights along with handling complex technical issues. Serve as a key resource for team troubleshooting, guiding others through debugging and technical problem-solving. Attention to Detail: Meticulous attention to data nuances, capable of spotting subtle discrepancies. Strong focus on data accuracy, completeness, and consistency across systems. Testing and QA Expertise: Proven experience in designing and implementing testing protocols, including unit, integration, and performance testing. Process-Driven Mindset: Strong experience with process improvement and documentation, particularly for coding standards, task tracking, and data management protocols. Strong Communication Skills: Ability to clearly articulate technical challenges, propose effective solutions, and align cross-functional teams on project requirements and data workflows. Strong at conveying complex ideas to both technical and non-technical stakeholders, ensuring transparency and collaboration. Skilled in documenting data issues, methodologies, and technical workflows for knowledge sharing. Adaptability and Continuous Learning: Stay updated on data engineering trends and foster a culture of continuous learning and process evolution within the team. Data Pipelines: Hands-on experience in building, maintaining, and optimizing ETL/ELT pipelines, including data transfer, transformation, and visualization, for real-world applications. Strong understanding of data workflows and ability to troubleshoot pipeline issues quickly with the ability to automate repetitive data processes to improve efficiency and reliability. Perks: Day off on the 3rd Friday of every month (one long weekend each month) Monthly Wellness Reimbursement Program to promote health well-being Monthly Office Commutation Reimbursement Program Paid paternity and maternity leaves How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 8.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: Tableau, SQL, Python Forbes Advisor is Looking for: Job Description: Data Research Specialist - Tableau At Marketplace, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance, so they can make informed decisions they feel confident in and get back to doing the things they care about most. We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Marketplace boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Marketplace’s global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel. The Data Integrity Team is a brand new team with the purpose of ensuring all primary, publicly accessible data collected by our researchers is correct and accurate, allowing the insights produced from this data to be reliable. The Data Integrity team collaborates with other teams while also operating independently. Their responsibilities include monitoring data researched to ensure that errors are identified and caught as soon as possible, creating detective skills for looking for issues and mending them, setting up new configurations and ensuring they are correct, testing new developments to guarantee data quality is not compromised, visualizing data, automating processes, working with relevant technologies, and ensuring data governance and compliance. They play a crucial role in enabling data-driven decision-making and meeting the organization's data needs. A typical day in the life of a Tableau Data Integrity Specialist will involve guiding team members through tableau challenges whilst creating new reports and looking for the next set of possible quality assurance problems. They should understand how to automate systems, optimization techniques, and best practices in debugging, testing and looking for issues. They work closely with other team members, offering technical mentorship, as well as advanced Tableau, SQL and Python. Key Responsibilities: Technical Mentorship and Tableau Report Quality: Mentor team members on standards, optimization, and debugging, while conducting report reviews to enforce high consistent quality. Provide constructive feedback, and enforce quality standards. Technical Mentorship and Code Quality: Mentor team members on coding standards, optimization, and debugging while conducting code reviews to enforce high code quality. Provide constructive feedback, and enforce quality standards. Testing and Quality Assurance Leadership: Lead the development and implementation of rigorous testing protocols to ensure project reliability and advocate for automated test coverage. Process Improvement and Documentation: Establish and refine standards for version control, documentation, automation and task tracking to improve productivity and data quality. Continuously refine these processes to enhance team productivity, streamline workflows, and ensure data quality. Hands-On Technical Support: Provide expert troubleshooting support in Tableau, Python, MySQL helping the team resolve complex technical issues. Provide on-demand support to team members, helping them overcome technical challenges and improve their problem-solving skills. High-Level Technical Mentorship: Provide mentorship in advanced technical areas, including best practices, data visualization and programming. Guide the team in building scalable and reliable solutions to continually track and monitor data quality. Cross-Functional Collaboration: Partner with other teams to align tableau visualizations, data requirements, testing protocols, and process improvements. Foster open communication across teams to ensure seamless integration and delivery of data solutions. Continuous Learning and Improvement: Stay updated with emerging best practices, sharing relevant insights with the team. Drive a culture of continuous improvement, ensuring the team’s skills and processes evolve with industry standards. Data Pipelines: Design, implement and maintain scalable data pipelines for efficient data transfer, transformation, and visualization in production environments. Experience required: Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field. Equivalent experience in data engineering roles will also be considered. Leadership and Mentorship: Demonstrated ability to mentor and support junior and mid-level engineers, with a focus on fostering technical growth and improving team cohesion. Experience leading code reviews and guiding team members in problem-solving and troubleshooting. Technical Proficiency: Tableau: Advanced knowledge of Tableau and Tableau Prep Builder, with experience in creating efficient reports, data pipelines and workflows. Knowledge of Tableau Server Administration would be advantageous. Programming: Expert-level skills in MySQL and Python, with a strong understanding of code optimization, debugging, and testing. The ability to understand modular, reusable, and efficient code structures. Experience in implementing OOP best practices to enhance code organization and maintainability. Data Integrity & Validation Experience: Strong ability to assess, validate, and ensure the integrity of large datasets with experience in identifying data inconsistencies, anomalies, and patterns that indicate data quality issues. Proficient in designing and implementing data validation frameworks. Analytical & Problem-Solving Mindset: Critical thinking with a habit of asking "why"—why anomalies exist, why trends deviate, and what underlying factors are at play. Strong diagnostic skills to identify root causes of data issues and propose actionable solutions. Ability to work with ambiguous data and derive meaningful insights along with handling complex technical issues. Serve as a key resource for team troubleshooting, guiding others through debugging and technical problem-solving. Attention to Detail: Meticulous attention to data nuances, capable of spotting subtle discrepancies. Strong focus on data accuracy, completeness, and consistency across systems. Testing and QA Expertise: Proven experience in designing and implementing testing protocols, including unit, integration, and performance testing. Process-Driven Mindset: Strong experience with process improvement and documentation, particularly for coding standards, task tracking, and data management protocols. Strong Communication Skills: Ability to clearly articulate technical challenges, propose effective solutions, and align cross-functional teams on project requirements and data workflows. Strong at conveying complex ideas to both technical and non-technical stakeholders, ensuring transparency and collaboration. Skilled in documenting data issues, methodologies, and technical workflows for knowledge sharing. Adaptability and Continuous Learning: Stay updated on data engineering trends and foster a culture of continuous learning and process evolution within the team. Data Pipelines: Hands-on experience in building, maintaining, and optimizing ETL/ELT pipelines, including data transfer, transformation, and visualization, for real-world applications. Strong understanding of data workflows and ability to troubleshoot pipeline issues quickly with the ability to automate repetitive data processes to improve efficiency and reliability. Perks: Day off on the 3rd Friday of every month (one long weekend each month) Monthly Wellness Reimbursement Program to promote health well-being Monthly Office Commutation Reimbursement Program Paid paternity and maternity leaves How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Key Responsibilities Leadership & Mentoring Lead a team of Java developers, providing guidance, mentorship, and technical expertise. Facilitate effective communication across teams and stakeholders, ensuring alignment on project goals. Conduct code reviews, ensuring high-quality standards, and provide constructive feedback. Collaborate with Product Managers, Architects, and other stakeholders to define technical requirements. Design & Architecture Design and implement scalable, maintainable, and high-performance Java applications. Define and maintain application architecture, ensuring consistency and scalability. Lead architectural discussions and decisions, ensuring solutions meet business requirements and technical specifications. Development & Coding Write clean, efficient, and reusable Java code using best practices. Ensure that solutions adhere to coding standards and follow industry best practices for performance, security, and scalability. Develop RESTful APIs and integrate third-party services and applications. Leverage Java frameworks and tools such as Spring, Hibernate, and Maven to build applications. Continuous Improvement Drive continuous improvement in development processes, tools, and methodologies. Keep up to date with new technologies, frameworks, and tools in the Java ecosystem and evaluate their potential benefits. Promote DevOps practices and help implement automated testing and CI/CD pipelines. Problem Solving & Troubleshooting Analyze and troubleshoot issues in production environments. Optimize existing systems and resolve performance bottlenecks. Ensure that solutions are designed with reliability, maintainability, and extensibility in mind. Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent work experience). 8+ years of experience in software development with a strong focus on Java and related technologies. Proven experience as a Tech Lead, Senior Developer, or Software Engineer in Java-based application development. Expertise in Java frameworks like Spring, Hibernate, and Spring Boot. Experience with microservices architecture and cloud platforms. Strong Experience in Kafka, RabbitMQ, Postgres. Strong knowledge of RESTful APIs, databases (SQL/NoSQL), and caching technologies (Redis, Memcached). Familiarity with tools such as Maven, Git, Docker, and Kubernetes. Experience with Agile development methodologies (Scrum/Kanban). Strong analytical and problem-solving skills, with a passion for delivering high-quality software solutions. Excellent communication and leadership skills, with the ability to mentor and collaborate with cross-functional teams. Skills: kafka,leadership,postgres,java,rabbitmq,devops,cloud platforms,kubernetes,sql/nosql databases,problem-solving,spring boot,spring,microservices,restful apis,agile methodologies,memcached,mentoring,git,docker,redis,problem solving,elasticsearch,mentorship,maven,nosql,hibernate,sql,aws

Overview: Assistant Vice President coding is responsible Prepare and present reports on coding audit findings, compliance status, and performance metrics to senior management. Ensuring accurate coding, compliance, and revenue optimization for surgical services within the organization and are responsible for leading a team of coding professionals and collaborating with other departments, such as Health Information Management, Finance, and Compliance, to ensure alignment of coding practices with organizational goals. Qualifications: Bachelor’s degree in clinical or healthcare information management or a related field. Relevant certifications (e.g. CCS, CPC, CPMA) are mandatory. Strong knowledge of healthcare compliance regulations and reimbursement methodologies. Extensive experience in medical coding, with a focus on surgery coding and strong knowledge of CPT, ICD-10-CM, HCPCS coding systems. Experience: Minimum of 15 to 19 years of progressive experience in medical coding, coding auditing, and leadership roles, preferably in a healthcare setting and minimum of 5 years’ experience in surgical coding or auditing. Working Hours: 40 HOURS PER WEEK, FULL TIME EMPLOYEE Skills and abilities: Surgery – Ortho, IVR, GI and multispecialty. Demonstrated leadership and management skills, including the ability to lead and motivate a coding audit team. Experience in specialties - Spinal procedures, Implant, GI, musculoskeletal, CABG and other cardiac procedures, IVR and Radiation oncology Strong analytical and problem-solving abilities to interpret coding audit data and make data-driven decisions. Excellent communication skills to interact with coding staff, healthcare providers, and senior management, and to present audit findings effectively. Familiarity with health information systems and coding software tools. ADDITIONAL AND ESSENTIAL RESPONSIBILITIES: Regulatory Knowledge: Strong knowledge of ICD-10-CM/PCS, CPT, coding systems, as well as a deep understanding of Medicare and Medicaid reimbursement policies. Provide inputs and solutions to automatically recognize and extract data from medical documents for proper coding and to facilitate auditing. Stay updated on changes in coding guidelines, regulations, and reimbursement policies, ensuring the organization's adherence to these standards. Audit Oversight: Plan, coordinate, and oversee Surgical coding audits to evaluate the accuracy and completeness of coding practices, ensuring compliance with regulatory standards Data Analysis: Analyze coding audit results to identify trends, patterns, and areas for improvement, and make recommendations for corrective actions. Quality Improvement: Develop strategies to improve coding accuracy, documentation, and compliance within the organization. Technology Utilization: Stay current with coding software and technology tools to improve efficiency and accuracy in the coding process. Reporting: Generate reports on coding and billing performance, identifying trends, and presenting recommendations for improvement to senior management. Prompt response to all the emails and requirements. Manage the day-to-day operations to meet the monthly client deliverables with agreed SLA’s Monitor & suggest the effective utilization of resources across the project and review action plan developed to improve. Leading mentoring and monitoring the performance of Senior Manager to ensure efficiency in process operations. Review the quality metrics and checking the efficacy of quality improvement plans and sharing suggestions Creating and sustaining a dynamic environment that fosters development opportunities and motivates high performance amongst team members and organizing quality circle activities Understanding the customer pain points and provide innovative solutions to improve customer service level Define KRA’s and assess the team performance periodically Identify the hiring requirement basis the volume forecast and coordinate with senior leadership and hiring team. Review the managers progress on operational metrics and giving the real time feedback to them Making sure to review the team is meeting the revenue projections on monthly basis Implementation of automation opportunities identified by team by coordinating with respective stake holders. Reviewing the daily/monthly operational reports and addressing any issues Ensuring Skip level meeting with immediate Reportees Responsible for creating SOW for new RFP and review the SOP on steady state projects Driving the employee engagement program for team. Motivating the next level layers for enrolling them in leadership program to improve their leadership skills Sharing inputs with senior leadership team on cost optimization Excellent project management skills, multi-tasking, training skills. Develop and lead a high-performing coding and corporate quality team aligned with organizational goals. Continuously ensure quality standards are met across all programs. Achieve recruitment objectives and ensure the team is adequately staffed. Support and create dynamic training schedules to accelerate the onboarding and ramp-up of new coding resources. Ensure full adherence to utilization targets (100%) in terms of both quantity and quality. Drive ongoing improvements and optimization in Coding Operations. Provide solutions for new client and program onboarding. Track and monitor key performance metrics across all stages of the process. Regularly report on progress, updates, and key metrics. Identify and analyze exceptions or anomalies and provide detailed reports. Analyze metrics and insights, offering comprehensive narratives and recommendations. Implement appropriate corrective actions and preventive measures. Maintain clear and effective communication throughout. Please share updated cv to kavita.aparanji@qmail.quesscorp.com

Experience : 8.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: Tableau, SQL, Python Forbes Advisor is Looking for: Job Description: Data Research Specialist - Tableau At Marketplace, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance, so they can make informed decisions they feel confident in and get back to doing the things they care about most. We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Marketplace boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Marketplace’s global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel. The Data Integrity Team is a brand new team with the purpose of ensuring all primary, publicly accessible data collected by our researchers is correct and accurate, allowing the insights produced from this data to be reliable. The Data Integrity team collaborates with other teams while also operating independently. Their responsibilities include monitoring data researched to ensure that errors are identified and caught as soon as possible, creating detective skills for looking for issues and mending them, setting up new configurations and ensuring they are correct, testing new developments to guarantee data quality is not compromised, visualizing data, automating processes, working with relevant technologies, and ensuring data governance and compliance. They play a crucial role in enabling data-driven decision-making and meeting the organization's data needs. A typical day in the life of a Tableau Data Integrity Specialist will involve guiding team members through tableau challenges whilst creating new reports and looking for the next set of possible quality assurance problems. They should understand how to automate systems, optimization techniques, and best practices in debugging, testing and looking for issues. They work closely with other team members, offering technical mentorship, as well as advanced Tableau, SQL and Python. Key Responsibilities: Technical Mentorship and Tableau Report Quality: Mentor team members on standards, optimization, and debugging, while conducting report reviews to enforce high consistent quality. Provide constructive feedback, and enforce quality standards. Technical Mentorship and Code Quality: Mentor team members on coding standards, optimization, and debugging while conducting code reviews to enforce high code quality. Provide constructive feedback, and enforce quality standards. Testing and Quality Assurance Leadership: Lead the development and implementation of rigorous testing protocols to ensure project reliability and advocate for automated test coverage. Process Improvement and Documentation: Establish and refine standards for version control, documentation, automation and task tracking to improve productivity and data quality. Continuously refine these processes to enhance team productivity, streamline workflows, and ensure data quality. Hands-On Technical Support: Provide expert troubleshooting support in Tableau, Python, MySQL helping the team resolve complex technical issues. Provide on-demand support to team members, helping them overcome technical challenges and improve their problem-solving skills. High-Level Technical Mentorship: Provide mentorship in advanced technical areas, including best practices, data visualization and programming. Guide the team in building scalable and reliable solutions to continually track and monitor data quality. Cross-Functional Collaboration: Partner with other teams to align tableau visualizations, data requirements, testing protocols, and process improvements. Foster open communication across teams to ensure seamless integration and delivery of data solutions. Continuous Learning and Improvement: Stay updated with emerging best practices, sharing relevant insights with the team. Drive a culture of continuous improvement, ensuring the team’s skills and processes evolve with industry standards. Data Pipelines: Design, implement and maintain scalable data pipelines for efficient data transfer, transformation, and visualization in production environments. Experience required: Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field. Equivalent experience in data engineering roles will also be considered. Leadership and Mentorship: Demonstrated ability to mentor and support junior and mid-level engineers, with a focus on fostering technical growth and improving team cohesion. Experience leading code reviews and guiding team members in problem-solving and troubleshooting. Technical Proficiency: Tableau: Advanced knowledge of Tableau and Tableau Prep Builder, with experience in creating efficient reports, data pipelines and workflows. Knowledge of Tableau Server Administration would be advantageous. Programming: Expert-level skills in MySQL and Python, with a strong understanding of code optimization, debugging, and testing. The ability to understand modular, reusable, and efficient code structures. Experience in implementing OOP best practices to enhance code organization and maintainability. Data Integrity & Validation Experience: Strong ability to assess, validate, and ensure the integrity of large datasets with experience in identifying data inconsistencies, anomalies, and patterns that indicate data quality issues. Proficient in designing and implementing data validation frameworks. Analytical & Problem-Solving Mindset: Critical thinking with a habit of asking "why"—why anomalies exist, why trends deviate, and what underlying factors are at play. Strong diagnostic skills to identify root causes of data issues and propose actionable solutions. Ability to work with ambiguous data and derive meaningful insights along with handling complex technical issues. Serve as a key resource for team troubleshooting, guiding others through debugging and technical problem-solving. Attention to Detail: Meticulous attention to data nuances, capable of spotting subtle discrepancies. Strong focus on data accuracy, completeness, and consistency across systems. Testing and QA Expertise: Proven experience in designing and implementing testing protocols, including unit, integration, and performance testing. Process-Driven Mindset: Strong experience with process improvement and documentation, particularly for coding standards, task tracking, and data management protocols. Strong Communication Skills: Ability to clearly articulate technical challenges, propose effective solutions, and align cross-functional teams on project requirements and data workflows. Strong at conveying complex ideas to both technical and non-technical stakeholders, ensuring transparency and collaboration. Skilled in documenting data issues, methodologies, and technical workflows for knowledge sharing. Adaptability and Continuous Learning: Stay updated on data engineering trends and foster a culture of continuous learning and process evolution within the team. Data Pipelines: Hands-on experience in building, maintaining, and optimizing ETL/ELT pipelines, including data transfer, transformation, and visualization, for real-world applications. Strong understanding of data workflows and ability to troubleshoot pipeline issues quickly with the ability to automate repetitive data processes to improve efficiency and reliability. Perks: Day off on the 3rd Friday of every month (one long weekend each month) Monthly Wellness Reimbursement Program to promote health well-being Monthly Office Commutation Reimbursement Program Paid paternity and maternity leaves How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Sprinklr is a leading enterprise software company for all customer-facing functions. With advanced AI, Sprinklr's unified customer experience management (Unified-CXM) platform helps companies deliver human experiences to every customer, every time, across any modern channel. Headquartered in New York City with employees around the world, Sprinklr works with more than 1,000 of the world’s most valuable enterprises — global brands like Microsoft, P&G, Samsung and more than 50% of the Fortune 100. Learn more about our culture and how we make our employees happier through The Sprinklr Way. Job Description What Does Success Look Like At Sprinklr, you will play a crucial role in our product development team as a Lead Product Engineer. You will be in charge of creating, developing, and maintaining superior software solutions that satisfy our clients' changing needs. Under the direction of the engineering manager, you will work closely with cross-functional teams to develop cutting-edge features and platform advancements that promote innovation and continuous improvement. What You’ll Do Design, develop, and maintain scalable backend services and distributed systems using Java. Architect and implement solutions that handle large volumes of data and ensure high availability, fault tolerance, and reliability. Collaborate with product managers, front-end developers, and other stakeholders to deliver high-quality software solutions. Develop and optimize distributed systems to enhance performance, scalability, and efficiency. Troubleshoot and resolve complex technical issues in distributed environments. Write clean, maintainable, and efficient code following best practices and coding standards. Conduct code reviews and provide constructive feedback to peers. What Makes You Qualified A bachelor's or master's degree in software engineering, computer science, or a similar discipline. 5-9 years of hands-on experience in backend development using Java. Strong understanding of object-oriented programming principles and design patterns. Proficiency in Java frameworks such as Spring, Spring Boot, etc. Experience in building large scale applications and leveraging distributed systems Experience with database technologies such as MySQL, MongoDB, or Elasticsearch. Knowledge of distributed data storage and processing frameworks such as Apache Kafka, Apache Cassandra, or Hadoop. Knowledge of containerisation technologies (e.g., Docker, Kubernetes) and cloud computing platforms (e.g., AWS, Azure, GCP) is preferred. Strong teamwork and communication abilities, as well as the capacity to function well in a dynamic, fast-paced workplace. Why You'll Love Sprinklr: We're committed to creating a culture where you feel like you belong, are happier today than you were yesterday, and your contributions matter. At Sprinklr, we passionately, genuinely care. For full-time employees, we provide a range of comprehensive health plans, leading well-being programs, and financial protection for you and your family through a range of global and localized plans throughout the world. For more information on Sprinklr Benefits around the world, head to https://sprinklrbenefits.com/ to browse our country-specific benefits guides. We focus on our mission: We founded Sprinklr with one mission: to enable every organization on the planet to make their customers happier. Our vision is to be the world’s most loved enterprise software company, ever. We believe in our product: Sprinklr was built from the ground up to enable a brand’s digital transformation. Its platform provides every customer-facing team with the ability to reach, engage, and listen to customers around the world. At Sprinklr, we have many of the world's largest brands as our clients, and our employees have the opportunity to work closely alongside them. We invest in our people: At Sprinklr, we believe every human has the potential to be amazing. We empower each Sprinklrite in the journey toward achieving their personal and professional best. For wellbeing, this includes daily meditation breaks and virtual fitness. We have continuous learning opportunities available with LinkedIn Learning and more. EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others. We value and celebrate diversity and fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we’re more innovative, creative, and successful. Sprinklr is proud to be an equal-opportunity workplace and is an affirmative-action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. See also Sprinklr’s EEO Policy and EEO is the Law.

Experience : 8.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: Tableau, SQL, Python Forbes Advisor is Looking for: Job Description: Data Research Specialist - Tableau At Marketplace, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance, so they can make informed decisions they feel confident in and get back to doing the things they care about most. We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Marketplace boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Marketplace’s global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel. The Data Integrity Team is a brand new team with the purpose of ensuring all primary, publicly accessible data collected by our researchers is correct and accurate, allowing the insights produced from this data to be reliable. The Data Integrity team collaborates with other teams while also operating independently. Their responsibilities include monitoring data researched to ensure that errors are identified and caught as soon as possible, creating detective skills for looking for issues and mending them, setting up new configurations and ensuring they are correct, testing new developments to guarantee data quality is not compromised, visualizing data, automating processes, working with relevant technologies, and ensuring data governance and compliance. They play a crucial role in enabling data-driven decision-making and meeting the organization's data needs. A typical day in the life of a Tableau Data Integrity Specialist will involve guiding team members through tableau challenges whilst creating new reports and looking for the next set of possible quality assurance problems. They should understand how to automate systems, optimization techniques, and best practices in debugging, testing and looking for issues. They work closely with other team members, offering technical mentorship, as well as advanced Tableau, SQL and Python. Key Responsibilities: Technical Mentorship and Tableau Report Quality: Mentor team members on standards, optimization, and debugging, while conducting report reviews to enforce high consistent quality. Provide constructive feedback, and enforce quality standards. Technical Mentorship and Code Quality: Mentor team members on coding standards, optimization, and debugging while conducting code reviews to enforce high code quality. Provide constructive feedback, and enforce quality standards. Testing and Quality Assurance Leadership: Lead the development and implementation of rigorous testing protocols to ensure project reliability and advocate for automated test coverage. Process Improvement and Documentation: Establish and refine standards for version control, documentation, automation and task tracking to improve productivity and data quality. Continuously refine these processes to enhance team productivity, streamline workflows, and ensure data quality. Hands-On Technical Support: Provide expert troubleshooting support in Tableau, Python, MySQL helping the team resolve complex technical issues. Provide on-demand support to team members, helping them overcome technical challenges and improve their problem-solving skills. High-Level Technical Mentorship: Provide mentorship in advanced technical areas, including best practices, data visualization and programming. Guide the team in building scalable and reliable solutions to continually track and monitor data quality. Cross-Functional Collaboration: Partner with other teams to align tableau visualizations, data requirements, testing protocols, and process improvements. Foster open communication across teams to ensure seamless integration and delivery of data solutions. Continuous Learning and Improvement: Stay updated with emerging best practices, sharing relevant insights with the team. Drive a culture of continuous improvement, ensuring the team’s skills and processes evolve with industry standards. Data Pipelines: Design, implement and maintain scalable data pipelines for efficient data transfer, transformation, and visualization in production environments. Experience required: Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field. Equivalent experience in data engineering roles will also be considered. Leadership and Mentorship: Demonstrated ability to mentor and support junior and mid-level engineers, with a focus on fostering technical growth and improving team cohesion. Experience leading code reviews and guiding team members in problem-solving and troubleshooting. Technical Proficiency: Tableau: Advanced knowledge of Tableau and Tableau Prep Builder, with experience in creating efficient reports, data pipelines and workflows. Knowledge of Tableau Server Administration would be advantageous. Programming: Expert-level skills in MySQL and Python, with a strong understanding of code optimization, debugging, and testing. The ability to understand modular, reusable, and efficient code structures. Experience in implementing OOP best practices to enhance code organization and maintainability. Data Integrity & Validation Experience: Strong ability to assess, validate, and ensure the integrity of large datasets with experience in identifying data inconsistencies, anomalies, and patterns that indicate data quality issues. Proficient in designing and implementing data validation frameworks. Analytical & Problem-Solving Mindset: Critical thinking with a habit of asking "why"—why anomalies exist, why trends deviate, and what underlying factors are at play. Strong diagnostic skills to identify root causes of data issues and propose actionable solutions. Ability to work with ambiguous data and derive meaningful insights along with handling complex technical issues. Serve as a key resource for team troubleshooting, guiding others through debugging and technical problem-solving. Attention to Detail: Meticulous attention to data nuances, capable of spotting subtle discrepancies. Strong focus on data accuracy, completeness, and consistency across systems. Testing and QA Expertise: Proven experience in designing and implementing testing protocols, including unit, integration, and performance testing. Process-Driven Mindset: Strong experience with process improvement and documentation, particularly for coding standards, task tracking, and data management protocols. Strong Communication Skills: Ability to clearly articulate technical challenges, propose effective solutions, and align cross-functional teams on project requirements and data workflows. Strong at conveying complex ideas to both technical and non-technical stakeholders, ensuring transparency and collaboration. Skilled in documenting data issues, methodologies, and technical workflows for knowledge sharing. Adaptability and Continuous Learning: Stay updated on data engineering trends and foster a culture of continuous learning and process evolution within the team. Data Pipelines: Hands-on experience in building, maintaining, and optimizing ETL/ELT pipelines, including data transfer, transformation, and visualization, for real-world applications. Strong understanding of data workflows and ability to troubleshoot pipeline issues quickly with the ability to automate repetitive data processes to improve efficiency and reliability. Perks: Day off on the 3rd Friday of every month (one long weekend each month) Monthly Wellness Reimbursement Program to promote health well-being Monthly Office Commutation Reimbursement Program Paid paternity and maternity leaves How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Overview Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Responsibilities The Product Security team plays a crucial role in ensuring the safety and security of Atlassian's products and services. We are seeking a Product Security Engineer who excels at collaborating with development teams to enhance the security of their products throughout the entire software development lifecycle. Your role will involve enhancing our Product Security Program by providing technical guidance, promoting automation, and reviewing designs. You will lead our security teams in equipping engineering partner teams with the latest tools, techniques, and methodologies to ensure that secure products are built by default. A strong ability to collaborate with colleagues is essential for understanding our current processes as they relate to our products, as well as for suggesting and implementing improvements to our Product’s security posture. Since we work closely with our product engineering teams, the ability to read and understand code is very important. On Your First Day, We'll Expect You To Have Demonstrated expertise and experience working in security-focused roles Experience with application security and Secure SDLC. Solid understanding of SAST (Static Application Security Testing), DAST (Dynamic Application Security Testing), SCA (Software Composition Analysis), and various other Application Security (AppSec) tools is essential. Experience with Threat modelling Experience in cloud Product Security architecture and infrastructure Experience coding in Java, Python, or Go, and at least one scripting language Experience providing SME knowledge and guidance to stakeholders and engineering functions It's great, but not required if you have: Published contributions to the security community Presentation experience at industry events Qualifications Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits . About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh .

Experience : 8.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: Tableau, SQL, Python Forbes Advisor is Looking for: Job Description: Data Research Specialist - Tableau At Marketplace, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance, so they can make informed decisions they feel confident in and get back to doing the things they care about most. We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Marketplace boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Marketplace’s global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel. The Data Integrity Team is a brand new team with the purpose of ensuring all primary, publicly accessible data collected by our researchers is correct and accurate, allowing the insights produced from this data to be reliable. The Data Integrity team collaborates with other teams while also operating independently. Their responsibilities include monitoring data researched to ensure that errors are identified and caught as soon as possible, creating detective skills for looking for issues and mending them, setting up new configurations and ensuring they are correct, testing new developments to guarantee data quality is not compromised, visualizing data, automating processes, working with relevant technologies, and ensuring data governance and compliance. They play a crucial role in enabling data-driven decision-making and meeting the organization's data needs. A typical day in the life of a Tableau Data Integrity Specialist will involve guiding team members through tableau challenges whilst creating new reports and looking for the next set of possible quality assurance problems. They should understand how to automate systems, optimization techniques, and best practices in debugging, testing and looking for issues. They work closely with other team members, offering technical mentorship, as well as advanced Tableau, SQL and Python. Key Responsibilities: Technical Mentorship and Tableau Report Quality: Mentor team members on standards, optimization, and debugging, while conducting report reviews to enforce high consistent quality. Provide constructive feedback, and enforce quality standards. Technical Mentorship and Code Quality: Mentor team members on coding standards, optimization, and debugging while conducting code reviews to enforce high code quality. Provide constructive feedback, and enforce quality standards. Testing and Quality Assurance Leadership: Lead the development and implementation of rigorous testing protocols to ensure project reliability and advocate for automated test coverage. Process Improvement and Documentation: Establish and refine standards for version control, documentation, automation and task tracking to improve productivity and data quality. Continuously refine these processes to enhance team productivity, streamline workflows, and ensure data quality. Hands-On Technical Support: Provide expert troubleshooting support in Tableau, Python, MySQL helping the team resolve complex technical issues. Provide on-demand support to team members, helping them overcome technical challenges and improve their problem-solving skills. High-Level Technical Mentorship: Provide mentorship in advanced technical areas, including best practices, data visualization and programming. Guide the team in building scalable and reliable solutions to continually track and monitor data quality. Cross-Functional Collaboration: Partner with other teams to align tableau visualizations, data requirements, testing protocols, and process improvements. Foster open communication across teams to ensure seamless integration and delivery of data solutions. Continuous Learning and Improvement: Stay updated with emerging best practices, sharing relevant insights with the team. Drive a culture of continuous improvement, ensuring the team’s skills and processes evolve with industry standards. Data Pipelines: Design, implement and maintain scalable data pipelines for efficient data transfer, transformation, and visualization in production environments. Experience required: Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field. Equivalent experience in data engineering roles will also be considered. Leadership and Mentorship: Demonstrated ability to mentor and support junior and mid-level engineers, with a focus on fostering technical growth and improving team cohesion. Experience leading code reviews and guiding team members in problem-solving and troubleshooting. Technical Proficiency: Tableau: Advanced knowledge of Tableau and Tableau Prep Builder, with experience in creating efficient reports, data pipelines and workflows. Knowledge of Tableau Server Administration would be advantageous. Programming: Expert-level skills in MySQL and Python, with a strong understanding of code optimization, debugging, and testing. The ability to understand modular, reusable, and efficient code structures. Experience in implementing OOP best practices to enhance code organization and maintainability. Data Integrity & Validation Experience: Strong ability to assess, validate, and ensure the integrity of large datasets with experience in identifying data inconsistencies, anomalies, and patterns that indicate data quality issues. Proficient in designing and implementing data validation frameworks. Analytical & Problem-Solving Mindset: Critical thinking with a habit of asking "why"—why anomalies exist, why trends deviate, and what underlying factors are at play. Strong diagnostic skills to identify root causes of data issues and propose actionable solutions. Ability to work with ambiguous data and derive meaningful insights along with handling complex technical issues. Serve as a key resource for team troubleshooting, guiding others through debugging and technical problem-solving. Attention to Detail: Meticulous attention to data nuances, capable of spotting subtle discrepancies. Strong focus on data accuracy, completeness, and consistency across systems. Testing and QA Expertise: Proven experience in designing and implementing testing protocols, including unit, integration, and performance testing. Process-Driven Mindset: Strong experience with process improvement and documentation, particularly for coding standards, task tracking, and data management protocols. Strong Communication Skills: Ability to clearly articulate technical challenges, propose effective solutions, and align cross-functional teams on project requirements and data workflows. Strong at conveying complex ideas to both technical and non-technical stakeholders, ensuring transparency and collaboration. Skilled in documenting data issues, methodologies, and technical workflows for knowledge sharing. Adaptability and Continuous Learning: Stay updated on data engineering trends and foster a culture of continuous learning and process evolution within the team. Data Pipelines: Hands-on experience in building, maintaining, and optimizing ETL/ELT pipelines, including data transfer, transformation, and visualization, for real-world applications. Strong understanding of data workflows and ability to troubleshoot pipeline issues quickly with the ability to automate repetitive data processes to improve efficiency and reliability. Perks: Day off on the 3rd Friday of every month (one long weekend each month) Monthly Wellness Reimbursement Program to promote health well-being Monthly Office Commutation Reimbursement Program Paid paternity and maternity leaves How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 8.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: Tableau, SQL, Python Forbes Advisor is Looking for: Job Description: Data Research Specialist - Tableau At Marketplace, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance, so they can make informed decisions they feel confident in and get back to doing the things they care about most. We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Marketplace boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Marketplace’s global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel. The Data Integrity Team is a brand new team with the purpose of ensuring all primary, publicly accessible data collected by our researchers is correct and accurate, allowing the insights produced from this data to be reliable. The Data Integrity team collaborates with other teams while also operating independently. Their responsibilities include monitoring data researched to ensure that errors are identified and caught as soon as possible, creating detective skills for looking for issues and mending them, setting up new configurations and ensuring they are correct, testing new developments to guarantee data quality is not compromised, visualizing data, automating processes, working with relevant technologies, and ensuring data governance and compliance. They play a crucial role in enabling data-driven decision-making and meeting the organization's data needs. A typical day in the life of a Tableau Data Integrity Specialist will involve guiding team members through tableau challenges whilst creating new reports and looking for the next set of possible quality assurance problems. They should understand how to automate systems, optimization techniques, and best practices in debugging, testing and looking for issues. They work closely with other team members, offering technical mentorship, as well as advanced Tableau, SQL and Python. Key Responsibilities: Technical Mentorship and Tableau Report Quality: Mentor team members on standards, optimization, and debugging, while conducting report reviews to enforce high consistent quality. Provide constructive feedback, and enforce quality standards. Technical Mentorship and Code Quality: Mentor team members on coding standards, optimization, and debugging while conducting code reviews to enforce high code quality. Provide constructive feedback, and enforce quality standards. Testing and Quality Assurance Leadership: Lead the development and implementation of rigorous testing protocols to ensure project reliability and advocate for automated test coverage. Process Improvement and Documentation: Establish and refine standards for version control, documentation, automation and task tracking to improve productivity and data quality. Continuously refine these processes to enhance team productivity, streamline workflows, and ensure data quality. Hands-On Technical Support: Provide expert troubleshooting support in Tableau, Python, MySQL helping the team resolve complex technical issues. Provide on-demand support to team members, helping them overcome technical challenges and improve their problem-solving skills. High-Level Technical Mentorship: Provide mentorship in advanced technical areas, including best practices, data visualization and programming. Guide the team in building scalable and reliable solutions to continually track and monitor data quality. Cross-Functional Collaboration: Partner with other teams to align tableau visualizations, data requirements, testing protocols, and process improvements. Foster open communication across teams to ensure seamless integration and delivery of data solutions. Continuous Learning and Improvement: Stay updated with emerging best practices, sharing relevant insights with the team. Drive a culture of continuous improvement, ensuring the team’s skills and processes evolve with industry standards. Data Pipelines: Design, implement and maintain scalable data pipelines for efficient data transfer, transformation, and visualization in production environments. Experience required: Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field. Equivalent experience in data engineering roles will also be considered. Leadership and Mentorship: Demonstrated ability to mentor and support junior and mid-level engineers, with a focus on fostering technical growth and improving team cohesion. Experience leading code reviews and guiding team members in problem-solving and troubleshooting. Technical Proficiency: Tableau: Advanced knowledge of Tableau and Tableau Prep Builder, with experience in creating efficient reports, data pipelines and workflows. Knowledge of Tableau Server Administration would be advantageous. Programming: Expert-level skills in MySQL and Python, with a strong understanding of code optimization, debugging, and testing. The ability to understand modular, reusable, and efficient code structures. Experience in implementing OOP best practices to enhance code organization and maintainability. Data Integrity & Validation Experience: Strong ability to assess, validate, and ensure the integrity of large datasets with experience in identifying data inconsistencies, anomalies, and patterns that indicate data quality issues. Proficient in designing and implementing data validation frameworks. Analytical & Problem-Solving Mindset: Critical thinking with a habit of asking "why"—why anomalies exist, why trends deviate, and what underlying factors are at play. Strong diagnostic skills to identify root causes of data issues and propose actionable solutions. Ability to work with ambiguous data and derive meaningful insights along with handling complex technical issues. Serve as a key resource for team troubleshooting, guiding others through debugging and technical problem-solving. Attention to Detail: Meticulous attention to data nuances, capable of spotting subtle discrepancies. Strong focus on data accuracy, completeness, and consistency across systems. Testing and QA Expertise: Proven experience in designing and implementing testing protocols, including unit, integration, and performance testing. Process-Driven Mindset: Strong experience with process improvement and documentation, particularly for coding standards, task tracking, and data management protocols. Strong Communication Skills: Ability to clearly articulate technical challenges, propose effective solutions, and align cross-functional teams on project requirements and data workflows. Strong at conveying complex ideas to both technical and non-technical stakeholders, ensuring transparency and collaboration. Skilled in documenting data issues, methodologies, and technical workflows for knowledge sharing. Adaptability and Continuous Learning: Stay updated on data engineering trends and foster a culture of continuous learning and process evolution within the team. Data Pipelines: Hands-on experience in building, maintaining, and optimizing ETL/ELT pipelines, including data transfer, transformation, and visualization, for real-world applications. Strong understanding of data workflows and ability to troubleshoot pipeline issues quickly with the ability to automate repetitive data processes to improve efficiency and reliability. Perks: Day off on the 3rd Friday of every month (one long weekend each month) Monthly Wellness Reimbursement Program to promote health well-being Monthly Office Commutation Reimbursement Program Paid paternity and maternity leaves How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 8.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: Tableau, SQL, Python Forbes Advisor is Looking for: Job Description: Data Research Specialist - Tableau At Marketplace, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance, so they can make informed decisions they feel confident in and get back to doing the things they care about most. We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Marketplace boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Marketplace’s global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel. The Data Integrity Team is a brand new team with the purpose of ensuring all primary, publicly accessible data collected by our researchers is correct and accurate, allowing the insights produced from this data to be reliable. The Data Integrity team collaborates with other teams while also operating independently. Their responsibilities include monitoring data researched to ensure that errors are identified and caught as soon as possible, creating detective skills for looking for issues and mending them, setting up new configurations and ensuring they are correct, testing new developments to guarantee data quality is not compromised, visualizing data, automating processes, working with relevant technologies, and ensuring data governance and compliance. They play a crucial role in enabling data-driven decision-making and meeting the organization's data needs. A typical day in the life of a Tableau Data Integrity Specialist will involve guiding team members through tableau challenges whilst creating new reports and looking for the next set of possible quality assurance problems. They should understand how to automate systems, optimization techniques, and best practices in debugging, testing and looking for issues. They work closely with other team members, offering technical mentorship, as well as advanced Tableau, SQL and Python. Key Responsibilities: Technical Mentorship and Tableau Report Quality: Mentor team members on standards, optimization, and debugging, while conducting report reviews to enforce high consistent quality. Provide constructive feedback, and enforce quality standards. Technical Mentorship and Code Quality: Mentor team members on coding standards, optimization, and debugging while conducting code reviews to enforce high code quality. Provide constructive feedback, and enforce quality standards. Testing and Quality Assurance Leadership: Lead the development and implementation of rigorous testing protocols to ensure project reliability and advocate for automated test coverage. Process Improvement and Documentation: Establish and refine standards for version control, documentation, automation and task tracking to improve productivity and data quality. Continuously refine these processes to enhance team productivity, streamline workflows, and ensure data quality. Hands-On Technical Support: Provide expert troubleshooting support in Tableau, Python, MySQL helping the team resolve complex technical issues. Provide on-demand support to team members, helping them overcome technical challenges and improve their problem-solving skills. High-Level Technical Mentorship: Provide mentorship in advanced technical areas, including best practices, data visualization and programming. Guide the team in building scalable and reliable solutions to continually track and monitor data quality. Cross-Functional Collaboration: Partner with other teams to align tableau visualizations, data requirements, testing protocols, and process improvements. Foster open communication across teams to ensure seamless integration and delivery of data solutions. Continuous Learning and Improvement: Stay updated with emerging best practices, sharing relevant insights with the team. Drive a culture of continuous improvement, ensuring the team’s skills and processes evolve with industry standards. Data Pipelines: Design, implement and maintain scalable data pipelines for efficient data transfer, transformation, and visualization in production environments. Experience required: Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field. Equivalent experience in data engineering roles will also be considered. Leadership and Mentorship: Demonstrated ability to mentor and support junior and mid-level engineers, with a focus on fostering technical growth and improving team cohesion. Experience leading code reviews and guiding team members in problem-solving and troubleshooting. Technical Proficiency: Tableau: Advanced knowledge of Tableau and Tableau Prep Builder, with experience in creating efficient reports, data pipelines and workflows. Knowledge of Tableau Server Administration would be advantageous. Programming: Expert-level skills in MySQL and Python, with a strong understanding of code optimization, debugging, and testing. The ability to understand modular, reusable, and efficient code structures. Experience in implementing OOP best practices to enhance code organization and maintainability. Data Integrity & Validation Experience: Strong ability to assess, validate, and ensure the integrity of large datasets with experience in identifying data inconsistencies, anomalies, and patterns that indicate data quality issues. Proficient in designing and implementing data validation frameworks. Analytical & Problem-Solving Mindset: Critical thinking with a habit of asking "why"—why anomalies exist, why trends deviate, and what underlying factors are at play. Strong diagnostic skills to identify root causes of data issues and propose actionable solutions. Ability to work with ambiguous data and derive meaningful insights along with handling complex technical issues. Serve as a key resource for team troubleshooting, guiding others through debugging and technical problem-solving. Attention to Detail: Meticulous attention to data nuances, capable of spotting subtle discrepancies. Strong focus on data accuracy, completeness, and consistency across systems. Testing and QA Expertise: Proven experience in designing and implementing testing protocols, including unit, integration, and performance testing. Process-Driven Mindset: Strong experience with process improvement and documentation, particularly for coding standards, task tracking, and data management protocols. Strong Communication Skills: Ability to clearly articulate technical challenges, propose effective solutions, and align cross-functional teams on project requirements and data workflows. Strong at conveying complex ideas to both technical and non-technical stakeholders, ensuring transparency and collaboration. Skilled in documenting data issues, methodologies, and technical workflows for knowledge sharing. Adaptability and Continuous Learning: Stay updated on data engineering trends and foster a culture of continuous learning and process evolution within the team. Data Pipelines: Hands-on experience in building, maintaining, and optimizing ETL/ELT pipelines, including data transfer, transformation, and visualization, for real-world applications. Strong understanding of data workflows and ability to troubleshoot pipeline issues quickly with the ability to automate repetitive data processes to improve efficiency and reliability. Perks: Day off on the 3rd Friday of every month (one long weekend each month) Monthly Wellness Reimbursement Program to promote health well-being Monthly Office Commutation Reimbursement Program Paid paternity and maternity leaves How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 8.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: Tableau, SQL, Python Forbes Advisor is Looking for: Job Description: Data Research Specialist - Tableau At Marketplace, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance, so they can make informed decisions they feel confident in and get back to doing the things they care about most. We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Marketplace boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Marketplace’s global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel. The Data Integrity Team is a brand new team with the purpose of ensuring all primary, publicly accessible data collected by our researchers is correct and accurate, allowing the insights produced from this data to be reliable. The Data Integrity team collaborates with other teams while also operating independently. Their responsibilities include monitoring data researched to ensure that errors are identified and caught as soon as possible, creating detective skills for looking for issues and mending them, setting up new configurations and ensuring they are correct, testing new developments to guarantee data quality is not compromised, visualizing data, automating processes, working with relevant technologies, and ensuring data governance and compliance. They play a crucial role in enabling data-driven decision-making and meeting the organization's data needs. A typical day in the life of a Tableau Data Integrity Specialist will involve guiding team members through tableau challenges whilst creating new reports and looking for the next set of possible quality assurance problems. They should understand how to automate systems, optimization techniques, and best practices in debugging, testing and looking for issues. They work closely with other team members, offering technical mentorship, as well as advanced Tableau, SQL and Python. Key Responsibilities: Technical Mentorship and Tableau Report Quality: Mentor team members on standards, optimization, and debugging, while conducting report reviews to enforce high consistent quality. Provide constructive feedback, and enforce quality standards. Technical Mentorship and Code Quality: Mentor team members on coding standards, optimization, and debugging while conducting code reviews to enforce high code quality. Provide constructive feedback, and enforce quality standards. Testing and Quality Assurance Leadership: Lead the development and implementation of rigorous testing protocols to ensure project reliability and advocate for automated test coverage. Process Improvement and Documentation: Establish and refine standards for version control, documentation, automation and task tracking to improve productivity and data quality. Continuously refine these processes to enhance team productivity, streamline workflows, and ensure data quality. Hands-On Technical Support: Provide expert troubleshooting support in Tableau, Python, MySQL helping the team resolve complex technical issues. Provide on-demand support to team members, helping them overcome technical challenges and improve their problem-solving skills. High-Level Technical Mentorship: Provide mentorship in advanced technical areas, including best practices, data visualization and programming. Guide the team in building scalable and reliable solutions to continually track and monitor data quality. Cross-Functional Collaboration: Partner with other teams to align tableau visualizations, data requirements, testing protocols, and process improvements. Foster open communication across teams to ensure seamless integration and delivery of data solutions. Continuous Learning and Improvement: Stay updated with emerging best practices, sharing relevant insights with the team. Drive a culture of continuous improvement, ensuring the team’s skills and processes evolve with industry standards. Data Pipelines: Design, implement and maintain scalable data pipelines for efficient data transfer, transformation, and visualization in production environments. Experience required: Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field. Equivalent experience in data engineering roles will also be considered. Leadership and Mentorship: Demonstrated ability to mentor and support junior and mid-level engineers, with a focus on fostering technical growth and improving team cohesion. Experience leading code reviews and guiding team members in problem-solving and troubleshooting. Technical Proficiency: Tableau: Advanced knowledge of Tableau and Tableau Prep Builder, with experience in creating efficient reports, data pipelines and workflows. Knowledge of Tableau Server Administration would be advantageous. Programming: Expert-level skills in MySQL and Python, with a strong understanding of code optimization, debugging, and testing. The ability to understand modular, reusable, and efficient code structures. Experience in implementing OOP best practices to enhance code organization and maintainability. Data Integrity & Validation Experience: Strong ability to assess, validate, and ensure the integrity of large datasets with experience in identifying data inconsistencies, anomalies, and patterns that indicate data quality issues. Proficient in designing and implementing data validation frameworks. Analytical & Problem-Solving Mindset: Critical thinking with a habit of asking "why"—why anomalies exist, why trends deviate, and what underlying factors are at play. Strong diagnostic skills to identify root causes of data issues and propose actionable solutions. Ability to work with ambiguous data and derive meaningful insights along with handling complex technical issues. Serve as a key resource for team troubleshooting, guiding others through debugging and technical problem-solving. Attention to Detail: Meticulous attention to data nuances, capable of spotting subtle discrepancies. Strong focus on data accuracy, completeness, and consistency across systems. Testing and QA Expertise: Proven experience in designing and implementing testing protocols, including unit, integration, and performance testing. Process-Driven Mindset: Strong experience with process improvement and documentation, particularly for coding standards, task tracking, and data management protocols. Strong Communication Skills: Ability to clearly articulate technical challenges, propose effective solutions, and align cross-functional teams on project requirements and data workflows. Strong at conveying complex ideas to both technical and non-technical stakeholders, ensuring transparency and collaboration. Skilled in documenting data issues, methodologies, and technical workflows for knowledge sharing. Adaptability and Continuous Learning: Stay updated on data engineering trends and foster a culture of continuous learning and process evolution within the team. Data Pipelines: Hands-on experience in building, maintaining, and optimizing ETL/ELT pipelines, including data transfer, transformation, and visualization, for real-world applications. Strong understanding of data workflows and ability to troubleshoot pipeline issues quickly with the ability to automate repetitive data processes to improve efficiency and reliability. Perks: Day off on the 3rd Friday of every month (one long weekend each month) Monthly Wellness Reimbursement Program to promote health well-being Monthly Office Commutation Reimbursement Program Paid paternity and maternity leaves How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 8.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: Tableau, SQL, Python Forbes Advisor is Looking for: Job Description: Data Research Specialist - Tableau At Marketplace, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance, so they can make informed decisions they feel confident in and get back to doing the things they care about most. We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Marketplace boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Marketplace’s global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel. The Data Integrity Team is a brand new team with the purpose of ensuring all primary, publicly accessible data collected by our researchers is correct and accurate, allowing the insights produced from this data to be reliable. The Data Integrity team collaborates with other teams while also operating independently. Their responsibilities include monitoring data researched to ensure that errors are identified and caught as soon as possible, creating detective skills for looking for issues and mending them, setting up new configurations and ensuring they are correct, testing new developments to guarantee data quality is not compromised, visualizing data, automating processes, working with relevant technologies, and ensuring data governance and compliance. They play a crucial role in enabling data-driven decision-making and meeting the organization's data needs. A typical day in the life of a Tableau Data Integrity Specialist will involve guiding team members through tableau challenges whilst creating new reports and looking for the next set of possible quality assurance problems. They should understand how to automate systems, optimization techniques, and best practices in debugging, testing and looking for issues. They work closely with other team members, offering technical mentorship, as well as advanced Tableau, SQL and Python. Key Responsibilities: Technical Mentorship and Tableau Report Quality: Mentor team members on standards, optimization, and debugging, while conducting report reviews to enforce high consistent quality. Provide constructive feedback, and enforce quality standards. Technical Mentorship and Code Quality: Mentor team members on coding standards, optimization, and debugging while conducting code reviews to enforce high code quality. Provide constructive feedback, and enforce quality standards. Testing and Quality Assurance Leadership: Lead the development and implementation of rigorous testing protocols to ensure project reliability and advocate for automated test coverage. Process Improvement and Documentation: Establish and refine standards for version control, documentation, automation and task tracking to improve productivity and data quality. Continuously refine these processes to enhance team productivity, streamline workflows, and ensure data quality. Hands-On Technical Support: Provide expert troubleshooting support in Tableau, Python, MySQL helping the team resolve complex technical issues. Provide on-demand support to team members, helping them overcome technical challenges and improve their problem-solving skills. High-Level Technical Mentorship: Provide mentorship in advanced technical areas, including best practices, data visualization and programming. Guide the team in building scalable and reliable solutions to continually track and monitor data quality. Cross-Functional Collaboration: Partner with other teams to align tableau visualizations, data requirements, testing protocols, and process improvements. Foster open communication across teams to ensure seamless integration and delivery of data solutions. Continuous Learning and Improvement: Stay updated with emerging best practices, sharing relevant insights with the team. Drive a culture of continuous improvement, ensuring the team’s skills and processes evolve with industry standards. Data Pipelines: Design, implement and maintain scalable data pipelines for efficient data transfer, transformation, and visualization in production environments. Experience required: Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field. Equivalent experience in data engineering roles will also be considered. Leadership and Mentorship: Demonstrated ability to mentor and support junior and mid-level engineers, with a focus on fostering technical growth and improving team cohesion. Experience leading code reviews and guiding team members in problem-solving and troubleshooting. Technical Proficiency: Tableau: Advanced knowledge of Tableau and Tableau Prep Builder, with experience in creating efficient reports, data pipelines and workflows. Knowledge of Tableau Server Administration would be advantageous. Programming: Expert-level skills in MySQL and Python, with a strong understanding of code optimization, debugging, and testing. The ability to understand modular, reusable, and efficient code structures. Experience in implementing OOP best practices to enhance code organization and maintainability. Data Integrity & Validation Experience: Strong ability to assess, validate, and ensure the integrity of large datasets with experience in identifying data inconsistencies, anomalies, and patterns that indicate data quality issues. Proficient in designing and implementing data validation frameworks. Analytical & Problem-Solving Mindset: Critical thinking with a habit of asking "why"—why anomalies exist, why trends deviate, and what underlying factors are at play. Strong diagnostic skills to identify root causes of data issues and propose actionable solutions. Ability to work with ambiguous data and derive meaningful insights along with handling complex technical issues. Serve as a key resource for team troubleshooting, guiding others through debugging and technical problem-solving. Attention to Detail: Meticulous attention to data nuances, capable of spotting subtle discrepancies. Strong focus on data accuracy, completeness, and consistency across systems. Testing and QA Expertise: Proven experience in designing and implementing testing protocols, including unit, integration, and performance testing. Process-Driven Mindset: Strong experience with process improvement and documentation, particularly for coding standards, task tracking, and data management protocols. Strong Communication Skills: Ability to clearly articulate technical challenges, propose effective solutions, and align cross-functional teams on project requirements and data workflows. Strong at conveying complex ideas to both technical and non-technical stakeholders, ensuring transparency and collaboration. Skilled in documenting data issues, methodologies, and technical workflows for knowledge sharing. Adaptability and Continuous Learning: Stay updated on data engineering trends and foster a culture of continuous learning and process evolution within the team. Data Pipelines: Hands-on experience in building, maintaining, and optimizing ETL/ELT pipelines, including data transfer, transformation, and visualization, for real-world applications. Strong understanding of data workflows and ability to troubleshoot pipeline issues quickly with the ability to automate repetitive data processes to improve efficiency and reliability. Perks: Day off on the 3rd Friday of every month (one long weekend each month) Monthly Wellness Reimbursement Program to promote health well-being Monthly Office Commutation Reimbursement Program Paid paternity and maternity leaves How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

About The Role As a Product Technical Lead , you will act as the bridge between the product vision and technical execution. You will lead product architecture discussions, define technical roadmaps, and guide engineering teams to deliver high-performance, scalable solutions for our AI chatbot platform – BotPenguin. This is a high-impact role that demands strategic thinking, hands-on development expertise, and leadership skills to align cross-functional teams toward product success. You will be closely working with product managers, senior engineers, AI experts, and business stakeholders. You will also be responsible for conducting code reviews, mentoring junior developers, and ensuring high software quality standards. This role offers exciting opportunities to build impactful AI-driven solutions and shape the future of conversational automation. What You Need For This Role This position is a leadership role, requiring the ability to guide teams, drive initiatives, and influence outcomes at a strategic level. Education: Bachelor's degree in Computer Science, IT, or related field. Experience: 5 + years of experience in software engineering with at least 2+ years in a technical leadership role. Technical Skills:Proven experience in scalable system design and product architecture. Strong understanding of MEAN/MERN Stack technologies. Experience in software architecture planning and low-level design. Ability to define and implement product-level architectural patterns. Ability to create and implement scalable, high-performance solutions. Hands-on experience in backend API development & UI integration. Familiarity with cloud platforms like AWS and containerisation (Docker, Kubernetes). Understanding of AI/ML concepts in development. Knowledge of version control tools like GitLab/GitHub and project management tools like Notion. Soft Skills: Strong analytical mindset, leadership skills, and a passion for mentoring junior developers. What You Will Be Doing Lead technical architecture design and roadmap planning for BotPenguin’s core platform. Work alongside the Product Manager to align product vision with technical execution. Collaborate with engineering teams to translate product requirements into scalable solutions. Design and develop core modules of the platform, especially those related to automation, chat assignment, analytics, and multi-agent support. Implement and enforce technical best practices, coding guidelines, and documentation standards. Evaluate and integrate LLM models, AI agents, and automation tools as per evolving product needs. Ensure performance, security, and scalability of applications across global deployments. Support Customer Success and QA teams with technical issue resolution and RCA. Drive technical discussions, conduct code reviews, and ensure timely feature delivery. Foster a culture of continuous improvement, collaboration, and innovation within the tech team. Collaborate with the Product Team to plan and implement technical solutions for new features. Work closely with Technical Leads & Senior Developers to define software architecture and create low-level designs. Conduct code reviews to ensure adherence to best practices and coding standards. Develop backend APIs and integrate them with frontend applications. Conduct automated unit & integration testing to ensure high code quality. Document technical processes, APIs, and troubleshooting guides. Monitor system performance and suggest improvements to optimize efficiency. Assist the Customer Success Team in resolving technical challenges and enhancing user experience. Mentor junior engineers, providing guidance on best practices and career growth. Any other task relevant to the product that may be needed. Top reasons to work with us Lead the architecture and evolution of a fast-growing AI product used globally. Be part of a cutting-edge AI startup driving innovation in chatbot automation. Work with a passionate and talented team that values knowledge-sharing and problem-solving. Growth-oriented environment with ample learning opportunities. Exposure to top-tier global clients and projects with real-world impact. Flexible work hours and an emphasis on work-life balance. A culture that fosters creativity, ownership, and collaboration. Based on performance, this role offers the opportunity for promotion to a VP/ CTO position. MEAN/MERN Stack