8451 Spark Jobs - Page 2

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. What is Amex’s objective for a digital workplace? The Digital Workplace AI/ML Platform with GENAI capabilities aims to bring together the data from all Unified Workspace, Collaboration and Colleague Servicing platforms; combining this with HR, Information Security, and network data to provide real-time, meaningful insights in areas such as user experience, health scoring, productivity, and overall IT visibility. As the Engineering Senior Engineer 2 of the Digital Workplace AI/ML Platform, you will have responsibility for leading the engineering teams to develop the GENAI based Data and Cloud platform and enhance it to provide personalization capabilities, analytics, and engineering automations, and best practices. Our winning aspiration is to deliver the best Colleague digital experience. We simplify work and raise productivity by empowering Colleagues with the best digital tools and services. Opportunity for Impact Digital Workplace at American Express is entering into a new phase of technology transformation driven by opportunities to improve Colleague experience, raise productivity and collaboration, and drive operational efficiency of all service and infrastructure operations. If you have the talent and desire to deliver innovative products and services at a rapid pace, with hands on experience and strategic thinking, in areas of productivity and collaboration software suites, endpoint computing and security, mobile platforms, data management and analytics, and software engineering, join our leadership team to help with our transformation journey. Role and Responsibilities: The Data platform with GENAI capabilities is central to the future of how we work and improve colleague experience while identifying opportunities for improvement. As the leader of this group, you will: Create and manage a complex distributed data engineering pipeline at scale and manage its availability, throughputs, and security. Lead engineering teams and partner with Product Management to enhance the quality and outcomes of the data products including data analytics & visualization Lead the solutioning of Software Infrastructure, Authentication/Authorization (OKTA, JWT, SSL, A2A), CI/CD pipelines, Devops. The engineering skillset would need to run the GENAI/AI/ML models on the Cloud platform to derive meaningful insights & predictive analysis from search and chat bots. Work & collaborate with Product Management and Digital Workplace teams to influence key decisions on architecture and implementation of scalable, reliable, and cost-effective AI/ML platform Bring thought leadership to advance the overall state of technology and customer focus for the platform Manage delivery milestones, deployment cycles & delivery of the overall Software, Data Engineering and Platform Platform’s roadmap Enthusiasm for staying up-to-date with the latest advancements in AI, NLP, and large language models. A portfolio showcasing previous language model projects, contributions to open-source projects, or relevant publications is a plus. Build, inspire, and grow talented engineering teams that are responsible for designing and scaling solutions using Devops and Analytics skills. Build culture of innovation, ownership, accountability, and customer focus Contribute to the American Express Data Strategy. Working with other Technology teams to drive enterprise solutions, define best practice at a company level and further develop skills and experience outside Digital Workplace. Partner with the Digital Workplace technology teams to develop the AI/ML. platform strategy across all products and channels. Participate actively and constructively in agile team meetings and application reviews Work directly with and learn from the business, product, and engineering leaders across the organization Strengthen the collaboration with Industry partners/suppliers for more robust data solutions and market research for innovative solutions in this space. Professional Qualifications: Demonstrated experience leading engineering teams in remote and distributed product engineering setup. Must have writing software experience with exhaustive lines of code in Java, Spring, SpringBoot, React, Databases (Postgress, SQL-DB), RESTful API, and container-based application and Python. Demonstrated experience in data migration, integration, etc. Extensive knowledge of Devops best practices (CI/CD, Github Actions), observability, databases, caches software design skills. Mandatory strong experience in scalability, large scale distributed system designs to handle million requests, including reliability engineering, and platform monitoring. Expertise in pre-processing and cleaning large datasets as a part of ingesting data, from multiple sources within the enterprise. Experience with data structures, algorithms, and software design. Exposure to Data Science including Predictive Modelling. Willingness to learn GENAI, AI, LLMs, Rags, NLP, that are used in multilingual conversational systems. Take an extra mile to solve real-world scenarios for user commands and requests by identifying the right LLM models, tooling and frameworks. Willingness in deploying language models in production environments and integrating them into applications, platforms, or services. Review architecture and provide technical guidance for engineers Good to have experience on various data architectures, latest tools, current and future trends in data engineering space especially Big Data, Streaming and Cloud technologies like GCP, AWS, Azure. Good to have experience with Big Data technologies (Spark, Kafka, Hive, etc.) and have at least 1 Big data implementation on platforms like Cornerstone, Teradata, etc. Experience with Visualization Tools like ElasticSearch, Tableau, Power BI, etc. Experience with complex, high volume, multi-dimensional data ingestion including unstructured, structured, and streaming datasets. Ability to learn new tools and paradigms in data engineering and science Well versed in AGILE, SAFe and Program Management methods Bachelor’s degree with a preference for Computer Science, Master’s / Phd is a plus. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

About Us Founded in 2014, Circles is a global technology company reimagining the telco industry with its innovative SaaS platform, empowering telco operators worldwide to effortlessly launch innovative digital brands or refresh existing ones, accelerating their transformation into techcos. Today, Circles partners with leading telco operators across multiple countries and continents, including KDDI Corporation, Etisalat Group (e&), AT&T, and Telkomsel, creating blueprints for future telco and digital experiences enjoyed by millions of consumers globally. Besides its SaaS business, Circles operates three other distinct businesses: Life: A wholly-owned digital lifestyle telco brand based in Singapore, Circles.Lifeis powered by Circles' SaaS platform and pioneering go-to-market strategies. It is the digital market leader in Singapore and has won numerous awards for marketing, customer service, and innovative product offerings beyond connectivity. Circles Aspire: A global provider of Communications Platform-as-a-Service (CPaaS) solutions. Its cloud-based Experience Cloud platform enables enterprises, service providers and developers to deliver and scale mobile, messaging, IoT, and connectivity services worldwide. Jetpac: Specializing in travel tech solutions, Jetpacprovides seamless eSIM roaming for over 200 destinations and innovative travel lifestyle products, redefining connectivity for digital travelers. Jetpac was awarded Travel eSIM of the Year. Circles is backed by renowned global investors, including Peak XV Partners (formerly Sequoia), Warburg Pincus, Founders Fund, and EDBI (the investment arm of the Singapore Economic Development Board), with a track record of backing industry challengers. About Jetpac: Jetpac, from Circles, is the coolest travel-tech startup you will find, dedicated to making travel super convenient and100% hassle free. We are a bunch of rebels, renegades, and sometimes misfits, working together on a mission to change the Travel Universe. We grew 10x last year, with customers in 200+ destinations and available in 10 different languages and currencies. At Jetpac, we take ownership and we lead! We are ambitious and resourceful Jetpac cadets, who would stop at nothing to get the desired outcome! If you think is something of an interest and you have the hustle to join us, then keep reading! Job Overview We are seeking an experienced Assistant Product Manager to join our dynamic Jetpac team. The ideal candidate will have 2-3 years of experience in product management and will work closely with senior product manager(s) to develop and execute product strategy. In addition, the right candidate would have the spark and the flare needed for a young startup, and a desire to learn and grow. What You Will Do Product Development and Execution Develop Product strategy with Senior Product Manager(s) Manage day-to-day execution of product development cycles Create and maintain detailed product requirements documents (PRDs) Coordinate with engineering teams to optimize development cycles and improve execution efficiency to ensure timely feature delivery Oversee quality assurance processes and user acceptance testing Data-Driven Decision Making Implement and monitor key performance indicators (KPIs) for product features Analyze user data and feedback to make data-driven product improvements Design and conduct A/B testing to optimize product performance Implement robust data collection process, deliver analysis and improve following key metrics, including but not restricted to: Net Promoter Score (NPS): Conduct regular surveys, identify insights, and execute the improvement plan Conversion Rate (CVR): Track user actions through the product funnel, measure completion percentages, identify insights, and execute the improvement plan Repeat Purchase Rate: Track user actions, identify insights, and execute the improvement plan Churn Rate: Calculate and analyze customer loss over time, segmenting data to identify at-risk groups, identify insights, and execute the improvement plan Market Research and Analysis Conduct market research and analyze data to identify customer needs, market trends, and growth opportunities Analyze competition and stay up-to-date with industry trends Suggest product enhancements to improve user experience Cross-functional Collaboration Collaborate with cross-functional teams including engineering, marketing, sales, and customer support Facilitate communication between product, engineering, design, and marketing teams Organize and lead product-related meetings, ensuring clear action items and follow-ups Work closely with customer support to address user issues and incorporate feedback Product Launch and Iteration Assist in prioritizing feature implementations and setting timelines Develop and execute go-to-market strategies in collaboration with marketing for product launches Create user guides and support documentation Coordinate with marketing on go-to-market strategies Continuously iterate on products based on post-launch metrics and user feedback Reporting and Documentation Prepare reports and presentations on product updates and performance metrics Contribute to product documentation and training materials Monitor and report on users' reactions after launching What We're Looking For 2-3 years of hands-on product management experience Bachelor degree in Business Administration, Marketing, Computer Science, or a related field Strong analytical and problem-solving skills Excellent communication and stakeholder management abilities Proficiency in Agile methodologies and project management tools (e.g., Jira, Trello) Experience with data analysis and market research techniques Ability to work effectively in a fast-paced, collaborative environment Preferred Experience A degree from Tier-1 institutes like IITs, NITs, IIMs etc. is preferred Experience in working with AI-native products, personalization or recommendation engines is good to have Desired Skills Understanding of UX/UI design principles Technical knowledge relevant to the product domain Experience with product lifecycle management Familiarity with data analytics tools and techniques Basic understanding of coding principles and version control systems Experience with customer relationship management (CRM) systems Knowledge of product analytics tools (e.g., Mixpanel, Amplitude) The ideal candidate will be results-oriented, detail-focused, and able to manage multiple priorities in a fast-paced environment. They should be comfortable making data-driven decisions and have a passion for delivering high-quality products that meet user needs. What We Offer: 1. Competitive salary with excellent performance-based incentives. 2. Comprehensive benefits package, including health, dental, and vision coverage. 3. Flexible work arrangements with hybrid options. 4. Fast tracked career growth in a high impact innovative global start-up along with team Circles is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, disability or age. To all recruitment agencies: Circles will only acknowledge resumes shared by recruitment agencies if selected in our preferred supplier partnership program. Please do not forward resumes to our jobs alias, Circles, employees or any other company location. Circles will not be held accountable for any fees related to unsolicited resumes not uploaded via our ATS.

At Ashiana, we enable people to live a better life. The 18,000+ homes we have built, reminds us of our responsibility towards our customers, investors, vendors, and the society. Every day, we strive to deliver our homes on time, live up to the expectation we set and continue to care for our residents and projects long after we have handed them over. Over the last 45+ years, we are driven by bringing a smile of satisfaction to our residents in Jaipur, Gurugram, Pune, Chennai, Bhiwadi, etc. While we have received many a recognition, including Forbes “Best under a Billion”, “Most Caring Brand” to the “No. 1 Senior Living Developer” in the country, what we cherish most is when we go the extra mile to deliver happiness and comfort to our residents. For more information you may visit: www.ashianahousing.com Executive (KCH Operations)- Shape Kids’ Bright Futures Join Us to Build a World Where Kids Thrive Want to change how kids grow and shine? At Ashiana – Kid Centric, we need a bold Executive to lead our mission. You’ll create a community where kids’ physical, social, and emotional growth comes first through exciting programs and events. Our Mission: To spark joy, curiosity, and become launchpad for lifelong growth in kids aged 0-16 with new-age activities, meaningful programs, and community events that take modern childhood to new heights and unlocks a new realm for families with children. What You’ll Do 1. Craft Transformative Programs: Build and run creative programs, events, and activities with experts. Make them fun & qualitative for all kids’ ages and keep evolving them. 2. Build a Kid-Centric Community: Champion a culture of inclusivity, positivity, and kid friendliness within our residential space. Advocate for policies that prioritize children and foster strong, supportive bonds among families. 3. Lead with Passion: Guide a talented team of trainers, instructors, and experts, igniting their passion for nurturing kids’ growth. Foster collaboration, creativity, and a relentless drive for excellence & big results. 4. Drive Operational Success: Oversee seamless operations, managing stakeholders, budgets, and resources with precision to bring our vision to life. Who You Are • Educated & Ready: Have a graduate degree and 1-2 years of experience in creating or managing programs. Creative & Organized: Plan well and think outside the box. Passionate Advocate: Burn with enthusiasm for shaping the next generation’s future through holistic development. What Makes You Special You fight for kids’ happiness and growth. You’re a bold thinker with a track record of great ideas. You connect easily with people and build strong relationships. You work well in a team and get things done. Why Work with Us? • Great Pay & Benefits: Earn a strong salary with solid perks. Big Impact: Make a real difference in kids’ lives. Fun Workplace: Join a creative, forward-thinking team. Job Types: Permanent, Fresher Pay: ₹30,885.84 - ₹50,726.90 per month Schedule: Day shift Work Location: In person

Job Summary: We are seeking a highly skilled Python Developer to join our team. Key Responsibilities: Design, develop, and deploy Python applications Work independently on machine learning model development, evaluation, and optimization. Implement scalable and efficient algorithms for predictive analytics and automation. Optimize code for performance, scalability, and maintainability. Collaborate with stakeholders to understand business requirements and translate them into technical solutions. Integrate APIs and third-party tools to enhance functionality. Document processes, code, and best practices for maintainability. Required Skills & Qualifications: 5-6 years of professional experience in Python application development. Proficiency in Python libraries such as Pandas, NumPy, SciPy, and Matplotlib. Experience with SQL and NoSQL databases (PostgreSQL, MongoDB, etc.). Hands-on experience with big data technologies (Apache Spark, Delta Lake, Hadoop, etc.). Strong experience in developing APIs and microservices using FastAPI, Flask, or Django. Good understanding of data structures, algorithms, and software development best practices. Strong problem-solving and debugging skills. Ability to work independently and handle multiple projects simultaneously. Good to have - Working knowledge of cloud platforms (Azure/AWS/GCP) for deploying ML models and data applications. Job Type: Full-time Pay: ₹500,000.00 - ₹1,000,000.00 per year Schedule: Fixed shift Work Location: In person Application Deadline: 30/06/2025 Expected Start Date: 07/07/2025

Your work days are brighter here. At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That’s why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don’t need to hide who you are. You can feel the energy and the passion, it's what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here. At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not. In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday. About the Team Join our team and experience Workday! / About the team It's fun to work in a company where people truly believe in what they're doing. At Workday, we're committed to bringing passion and customer focus to the business of enterprise applications. We work hard, and we're serious about what we do. But we like to have a good time, too. In fact, we run our company with that principle in mind every day: One of our core values is fun. About the Role Job Description / About the Role Workday is looking for a Support Engineer specializing in Analytics with expertise in troubleshooting, performance optimization, and data analysis across Workday’s analytics services, including Prism Analytics, People Analytics, Discovery Boards, and Accounting Center. The ideal candidate has a solid foundation in big-data processing, data transformation, and reporting frameworks, with the ability to diagnose and resolve complex issues by analyzing logs, performance metrics, and system integrations. This role requires hands-on experience with query performance tuning, data pipeline debugging, and structured troubleshooting methodologies to support Workday’s analytics solutions. Strong data modeling, log analysis, and problem-solving skills combined with clear, effective communication are essential for success in this role. About You Key Areas of Responsibility: Provide sophisticated technical support for Workday’s reporting and analytics tools, including Prism Analytics, People Analytics, Discovery Boards, and Accounting Center, focusing on performance optimization, index debugging, memory management, and system health debugging. Develop expertise in Workday analytics services to drive high-performance reporting and data analytics solutions, using Prism Analytics, People Analytics, and SQL best practices. Collaborate with clients to define business requirements and translate them into optimized reports and configurations, improving query performance, data accuracy, and system health using Prism Analytics and Discovery Boards. Troubleshoot and resolve issues related to report configurations, system performance, integrations, and memory management, including detailed analysis of logs, query performance, and data pipelines. Guide customers in building, modifying, and optimizing reports, ensuring scalability, data integrity, and alignment with business needs, especially in Prism Analytics and Accounting Center. Educate users on standard methodologies for Workday reporting, security, and data governance, emphasizing People Analytics and Discovery Boards. Collaborate cross-functionally with engineering teams to address data quality issues, security concerns, and performance optimizations across Prism Analytics and Accounting Center, with a focus on memory management and system health. Contribute to documentation, QA efforts, and the optimization of analytics tools, with a focus on SQL querying, indexing, and debugging system health issues. Participate in 24x7 global support coverage, providing timely and efficient support across time zones. Key Technical Skills & Knowledge: Bachelor’s degree in Computer Science, Information Management, Statistics, Data Science, or a related field. 3+ years of experience in customer support, system performance optimization, data analysis, or similar roles, with a solid background in big data technologies and AI-driven analytics. Demonstrable experience with data platforms (e.g., Spark, Hadoop) and working with large-scale datasets, including data pipeline design and distributed processing. Hands-on experience with advanced reporting tools and analytics solutions, including AI-powered reporting platforms and big data tools like Spark for data transformation and analysis. Strong proficiency in SQL and data querying with the ability to analyze complex data sets, optimize queries, and perform data-driven insights to enhance system performance and business processes. Demonstrated ability to gather and map business requirements to advanced analytics and application capabilities, ensuring alignment with AI-driven insights and reporting solutions. Solid understanding of data architecture, including data lakes, ETL processes, and real-time data streaming. Strong analytical skills to collect, organize, and interpret complex datasets, using AI and big data tools to drive product improvements and optimize reporting performance. Ability to deliver data-driven insights to technical and non-technical partners, presenting complex findings to end-users and executive teams in an actionable manner. Proven collaboration skills, working across teams to drive issue resolution and using AI or machine learning models to enhance system functionality and customer experience. Strong written and verbal communication skills, with experience in technical consulting, customer support, or AI/ML-driven technical roles. Self-motivated with the ability to work independently in a fast-paced environment, while using AI and big data technologies to identify and resolve issues. Our Approach to Flexible Work With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter. Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!

Established in 2004, OLIVER is the world's first and only specialist in designing, building, and running bespoke in-house agencies and marketing ecosystems for brands. We partner with over 300 clients in 40+ countries and counting. Our unique model drives creativity and efficiency, allowing us to deliver tailored solutions that resonate deeply with audiences. As a part of The Brandtech Group , we're at the forefront of leveraging cutting-edge AI technology to revolutionise how we create and deliver work. Our AI solutions enhance efficiency, spark creativity, and drive insightful decision-making, empowering our teams to produce innovative and impactful results. Job Title: Project Manager Role: Freelancer Duration: 3-6 months Work Timings: 2pm-10pm SGT Location: India (Remote) About the role: We have a need for a dedicated and talented Project Manager to join our dedicated OLIVER + client team. The successful candidate will be working as part of a growing, digital team that is challenged to define and evolve the user experience across all of our client's digital channels (website, social media and eCommerce partner sites, such as Lazada and Amazon) and the supporting digital marketing activations. As this is a large team the chance for progression and promotion is high. Successful candidates will have access to both internal and external training programs for their continued professional development and learning. What you will be doing: Responsible for planning, managing, and executing projects related to a wide spectrum of digital marketing campaigns (such as website builds, eCommerce, digital display, marketing automation / CRM and social media). It is an overarching role that requires a high-level view of various moving parts, such as stakeholders, deadlines, and budgets, while also maintaining extreme attention to detail. Champion best in class project management methodologies and evangelise the principles within their team (for example, daily Stand-Ups, Spring Demos and Retrospective meetings) Be a collaborative problem solver and facilitate the development of project tasks and deliverables Able to consolidate, translate and communicate complex user requirements, technical information and project risks across the team and external client teams Utilise project management systems such as JIRA and Workfront to manage the teams current and back log priorities Monitor KPI's to ensure timely delivery of key outcomes Provide regular written and verbal communications on project progress to the wider product team and client stakeholders to maintain visibility and alignment Clear production blockers allowing the team to develop their work unhindered What you need to be great in this role: Experience in the management and successful delivery of Business-to-Business (B2B) and Business-to-Consumer (B2C) projects Experience of delivering projects using Agile Scrum methodology is highly beneficial but not mandatory. Good people skills. Ability to lead and inspire a team, possibly consisting of more experienced members. Passionate about new technology, digital trends, creativity and creative technology. Confident presenter / public speaker. Question and provide constructive feedback regarding marketing activities which are out of their primary area of responsibility (i.e. digital strategy, UX / UI, creative and design). Highly motivated individual able to own and drive projects through to completion / delivery. Ability to manage multiple parallel projects with conflicting deadlines and team profiles. Excellent written and oral communication skills and the ability to build strong and trusting relationships both with internal and external teams. Good problem-solving skills with the ability to proactively and creatively resolve project risks and issues and resource conflicts. Attention to detail Experience delivering projects around the Asia Pacific region Excellent communication and presentation skills Project Management experience Bachelors degree in Human Factors, Marketing, Communications or equivalent experience Minimum 3+ years combined experience as a project manager or similar role (i.e. Account Manager) Minimum 1 year experience managing multiple disciplined digital marketing teams Masters degree in related field Familiarity with Dual Track Agile, Lean UX or Design Thinking Passion for and inquisitive about AI and new technologies Understanding and knowledge of AI tools is beneficial, but ability to learn and digest benefits and features of AI tools is critical Req ID: 13500 #LI-D1 #LI-Remote Our values shape everything we do: Be Ambitious to succeed Be Imaginative to push the boundaries of what's possible Be Inspirational to do groundbreaking work Be always learning and listening to understand Be Results-focused to exceed expectations Be actively pro-inclusive and anti-racist across our community, clients and creations OLIVER, a part of the Brandtech Group, is an equal opportunity employer committed to creating an inclusive working environment where all employees are encouraged to reach their full potential, and individual differences are valued and respected. All applicants shall be considered for employment without regard to race, ethnicity, religion, gender, sexual orientation, gender identity, age, neurodivergence, disability status, or any other characteristic protected by local laws. OLIVER has set ambitious environmental goals around sustainability, with science-based emissions reduction targets. Collectively, we work towards our mission, embedding sustainability into every department and through every stage of the project lifecycle.

Overview We are hiring a Senior Data Engineer (6 to 10 years) with deep expertise in Azure Data Bricks, Azure Data Lake, and Azure Synapse Analytics to join our high-performing team. The ideal candidate will have a proven track record in designing, building, and optimizing big data pipelines and architectures while leveraging their technical proficiency in cloud-based data engineering. This role requires a strategic thinker who can bridge the gap between raw data and actionable insights, enabling data-driven decision-making for large-scale enterprise initiatives. A strong foundation in distributed computing, ETL frameworks, and advanced data modeling is crucial. The individual will work closely with data architects, analysts, and business teams to deliver scalable and efficient data solutions. Work Location: Hyderabad, Bangalore and Chennai Work Mode: Work from Office (5 days) Notice Period: Immediate to 15 days Responsibilities Key Responsibilities: Data Engineering & Architecture: Design, develop, and maintain high-performance data pipelines for structured and unstructured data using Azure Data Bricks and Apache Spark. Build and manage scalable data ingestion frameworks for batch and real-time data processing. Implement and optimize data lake architecture in Azure Data Lake to support analytics and reporting workloads. Develop and optimize data models and queries in Azure Synapse Analytics to power BI and analytics use cases. Cloud-Based Data Solutions: Architect and implement modern data lakehouses combining the best of data lakes and data warehouses. Leverage Azure services like Data Factory, Event Hub, and Blob Storage for end-to-end data workflows. Ensure security, compliance, and governance of data through Azure Role-Based Access Control (RBAC) and Data Lake ACLs. ETL/ELT Development: Develop robust ETL/ELT pipelines using Azure Data Factory, Data Bricks notebooks, and PySpark. Perform data transformations, cleansing, and validation to prepare datasets for analysis. Manage and monitor job orchestration, ensuring pipelines run efficiently and reliably. Performance Optimization: Optimize Spark jobs and SQL queries for large-scale data processing. Implement partitioning, caching, and indexing strategies to improve performance and scalability of big data workloads. Conduct capacity planning and recommend infrastructure optimizations for cost-effectiveness. Collaboration & Stakeholder Management: Work closely with business analysts, data scientists, and product teams to understand data requirements and deliver solutions. Participate in cross-functional design sessions to translate business needs into technical specifications. Provide thought leadership on best practices in data engineering and cloud computing. Documentation & Knowledge Sharing: Create detailed documentation for data workflows, pipelines, and architectural decisions. Mentor junior team members and promote a culture of learning and innovation. Requirements Required Qualifications: Experience: 7+ years of experience in data engineering, big data, or cloud-based data solutions. Proven expertise with Azure Data Bricks, Azure Data Lake, and Azure Synapse Analytics. Technical Skills: Strong hands-on experience with Apache Spark and distributed data processing frameworks. Advanced proficiency in Python and SQL for data manipulation and pipeline development. Deep understanding of data modeling for OLAP, OLTP, and dimensional data models. Experience with ETL/ELT tools like Azure Data Factory or Informatica. Familiarity with Azure DevOps for CI/CD pipelines and version control. Big Data Ecosystem: Familiarity with Delta Lake for managing big data in Azure. Experience with streaming data frameworks like Kafka, Event Hub, or Spark Streaming. Cloud Expertise: Strong understanding of Azure cloud architecture, including storage, compute, and networking. Knowledge of Azure security best practices, such as encryption and key management. Preferred Skills (Nice to Have): Experience with machine learning pipelines and frameworks like MLFlow or Azure Machine Learning. Knowledge of data visualization tools such as Power BI for creating dashboards and reports. Familiarity with Terraform or ARM templates for infrastructure as code (IaC). Exposure to NoSQL databases like Cosmos DB or MongoDB. Experience with data governance tools like Azure Purview.

India Information Technology (IT) Group Functions Job Reference # 319493BR City Pune Job Type Full Time Your role Do you have the experience to design, develop and execute automated test scripts? Do you enjoy testing Front to back aspects of the application, ETL pipelines and ensuring data quality within software applications? Do you regularly build and maintain automated testing scripts written in Scala, Spark and SQL? We are looking for someone like that who has : automation Framework development experience previous experience working in a testing and/or quality assurance role enjoys working with data Your Career Comeback We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback. Your team You’ll be working in the Group Compliance, Regulatory & Governance IT team based in Pune, India. Our role is to automate scenarios for global Regulatory Reporting requirements. We are a global IT team supporting internal clients throughout the world. Your expertise Responsibilities build an automation testing framework for ETL and Data Quality Validation build and maintain automated testing scripts written in Scala, Spark and SQL build and maintain automated testing scripts written in Selenium work with Scrum/Agile team to establish and support the execution of automated tests on the Continuous Integration Environment create, modify and execute automated tests, test scripts, test suites including functional, and regression tests to extract, transform and load data that is transmitted between systems. executes both manual and automated tests. Analyze execution results to determine the reason for test failures ensure clear and prompt reporting on a build/release status to all stakeholders based on test run execution results develop expertise in the applications and maintain solid knowledge with respect to automated testing tools and techniques that support Front to Back/ETL/Data Integration testing About us UBS is the world’s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.. We have a presence in all major financial centers in more than 50 countries. How we hire We may request you to complete one or more assessments during the application process. Learn more Contact Details UBS Business Solutions SA UBS Recruiting Disclaimer / Policy statements UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.

Job Title: Social Media ManagerAbout aerpace At aerpace, we are building the transportation infrastructure of tomorrow through autonomous systems, solar-powered vertical mobility, clean logistics, and bold community movements like MakeTime . We believe the future is not just coming — we’re making time for it.As Social Media Manager, you won’t just run pages — you’ll shape narratives. You’ll work across our ecosystem of futuristic technologies and purpose-driven platforms to spark conversations, amplify stories, and grow a loyal community that believes in rewriting what’s possible. Role Overview We’re looking for a passionate and strategic Social Media Manager who can transform bold ideas into thumb-stopping content and meaningful engagement. The ideal candidate will be equal parts storyteller, strategist, and growth hacker — someone who understands the nuances of platform-specific content, trends, community psychology, and brand alignment. Key ResponsibilitiesStrategy & Planning Build and execute monthly social media calendars for each vertical (aerCar, aerVolt, etc.) aligned with business goals and campaign plans. Define tone, content pillars, and voice per vertical (tech-driven, community-led, sustainability-focused, etc.) Identify platform-specific growth opportunities (Instagram reels, LinkedIn thought-leadership, YouTube storytelling, Reddit threads, etc.) Content Ideation & Execution Collaborate with the design, video, and copy teams to conceptualize and execute engaging posts — static, reels, carousels, infographics, and live content. Work closely with founders, engineers, and brand leads to surface meaningful stories from the field (e.g., factory build-outs, test flights, community success stories). Source and manage UGC (User-Generated Content) from the MakeTime and aerpace Racers community. Community Building & Engagement Lead engagement across platforms — respond to DMs, comments, community queries, and escalate when necessary. Build strategic campaigns that promote movement-based initiatives like MakeTime and Future = aerpace Monitor conversations about aerpace across Quora, Reddit, Twitter, and other relevant forums. Analytics & Reporting Track KPIs: reach, engagement, follower growth, saves, shares, CTR. Provide monthly performance reports and learnings to the brand & digital strategy teams. Adjust strategy based on insights and campaign priorities (e.g., Dakar, aerCar launch, aerVolt feature drop). Influencer & Third-Party Collaboration Assist in managing collaborations with influencers and creators in the tech, mobility, sustainability, and lifestyle spaces. Support PR team with distribution-ready content for announcements or event coverage Must-Have Skills & Experience 3–5 years of experience in social media or digital content for tech, mobility, lifestyle, or purpose-led brands. Hands-on experience managing social media tools (Meta Suite, Later, Buffer, Hootsuite, Notion). Excellent communication, content writing, and brand storytelling ability. Solid understanding of data, metrics, and the ability to optimize based on performance. Deep awareness of Indian and global cultural trends, meme culture, and internet behaviors. Preferred Qualities You’re not just social — you’re strategic. You think in movements, not just moments. You believe in future-forward ideas and have a curious mind toward innovation. You’re organized, agile, and excited by new challenges. Bonus: Experience working with defense, clean energy, or EV mobility sectors. Job Type: Full-time Pay: ₹300,000.00 - ₹700,000.00 per year Benefits: Flexible schedule Schedule: Day shift Work Location: In person

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. We are looking for a Principal Member of Technical Staff to join our Provider solutions mini zone Interoperability Networks zone, Data and Ecosystem Platform subdivision in Chennai location. Our zone vision is to maximize our network effect through efficient, effective experience driven interoperability and navigate to value-based care. Our zone vision is “ Deliver timely, relevant, and actionable data from across the healthcare ecosystem to the right person to make the right decision”. Help us reach our goal of becoming the healthcare backbone by enhancing our cloud based EHR solution and leveraging the network effect of 100k+ providers. Apply your technical skills towards allowing doctors to be doctors so that they can spend more time doing what they do best: provide patient care. But enough about us, let’s talk about you. Your job will be to build products and services for seamless interoperability solutions. You are a technologist with zeal to solve complex problems, have a growth mindset, are a fast learner, who is willing to work in fast paced environment. Job Responsibilities Deliver customer value in the form of high-quality software components and services in adherence with R&D policies on security, performance, longevity, and Integration testing. Propose technical design and implementation that solve scaling and performance problems. Look for innovation opportunities across several teams with a willingness to experiment and to boldly confront problems of large complexity and scope. Proactively identify opportunities to reuse services and product features. Avoid duplication of effort by collaborating and make proposals across various engineering teams. Provide technical mentorship within team and across zones. Interact with customers and internal stakeholders as a consultant and spokesperson for payer solution team. Preferred Qualifications 15+ years of experience in an engineering role. Bachelor’s Degree or equivalent. Significant software engineering skills and computer science experience. Hands-on experience in programming languages such as Java, Perl, Python, JavaScript/Query is required. Extensive experience with object-oriented programming, relational database technologies, distributed computing tech and RESTful APIs. Experience architecting/developing solutions on AWS. Experience in an Agile environment. Been part of SDLC, deployment & support of software projects. Knowledge of Version control management tools like Perforce & Git. Demonstrated experience leading or developing high quality, enterprise scale software products using a structured system development lifecycle. Knowledge of or experience with big data analytics techniques: data warehousing (Snowflake), data mining (Looker) is a plus. Knowledge of healthcare is a plus. About athenahealth Our vision: In an industry that becomes more complex by the day, we stand for simplicity. We offer IT solutions and expert services that eliminate the daily hurdles preventing healthcare providers from focusing entirely on their patients — powered by our vision to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. Our company culture: Our talented employees — or athenistas, as we call ourselves — spark the innovation and passion needed to accomplish our vision. We are a diverse group of dreamers and do-ers with unique knowledge, expertise, backgrounds, and perspectives. We unite as mission-driven problem-solvers with a deep desire to achieve our vision and make our time here count. Our award-winning culture is built around shared values of inclusiveness, accountability, and support. Our DEI commitment: Our vision of accessible, high-quality, and sustainable healthcare for all requires addressing the inequities that stand in the way. That's one reason we prioritize diversity, equity, and inclusion in every aspect of our business, from attracting and sustaining a diverse workforce to maintaining an inclusive environment for athenistas, our partners, customers and the communities where we work and serve. What we can do for you: Along with health and financial benefits, athenistas enjoy perks specific to each location, including commuter support, employee assistance programs, tuition assistance, employee resource groups, and collaborative workspaces — some offices even welcome dogs. We also encourage a better work-life balance for athenistas with our flexibility. While we know in-office collaboration is critical to our vision, we recognize that not all work needs to be done within an office environment, full-time. With consistent communication and digital collaboration tools, athenahealth enables employees to find a balance that feels fulfilling and productive for each individual situation. In addition to our traditional benefits and perks, we sponsor events throughout the year, including book clubs, external speakers, and hackathons. We provide athenistas with a company culture based on learning, the support of an engaged team, and an inclusive environment where all employees are valued. Learn more about our culture and benefits here: athenahealth.com/careers https://www.athenahealth.com/careers/equal-opportunity

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role As a senior software engineer with Capgemini, you should have 4 + years of experience in Palantir Developer with strong project track record In this role you will play a key role in: Strong customer orientation, decision making, problem solving, communication and presentation skills Very good judgement skills and ability to shape compelling solutions and solve unstructured problems with assumptions Very good collaboration skills and ability to interact with multi-cultural and multi-functional teams spread across geographies Strong executive presence and spirit Superb leadership and team building skills with ability to build consensus and achieve goals through collaboration rather than direct line authority Your Profile Developing back-end code logic that leverages semantic object linking (ontologies) within Palantir Foundry Pipeline Builder, Code Workbook, and Ontology Manager. Creating servers, databases, and datasets for functionality as needed. Ensuring health of data connections and pipelines (utilizing filesystem, JDBC, SFTP, and webhook). Ensuring conformance with security protocols and markings on sensitive data sets. Ensuring responsiveness of web applications developed on low code/no code solutions. Ensuring cross-platform optimization for mobile phones. Seeing through projects from conception to finished product. Meeting both technical and customer needs. Staying abreast of developments in web applications and programming languages. Proficiency with fundamental front-end languages such as HTML, CSS, MySQL, Oracle, MongoDB, and JavaScript preferred. Proficiency with server-side languages for structured data processing; Python, Py Spark, Java, Apache Spark, and Spark SQL preferred. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place. About The Company We’re Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place. About The Team Join the Marketing AI/ML Algorithms and Applications team within Salesforce's Marketing organization. In this role, you'll have the opportunity to make an outsized impact on Salesforce's marketing initiatives, helping to promote our vast product portfolio to a global customer base, including 90% of the Fortune 500. By driving state-of-the-art data engineering solutions for our internal marketing platforms, you'll directly contribute to enhancing the effectiveness of Salesforce's marketing efforts. Your data engineering expertise will play a pivotal role in accelerating Salesforce's growth. This is a unique chance to apply your passion for data engineering to drive transformative business impact on a global scale, shaping the future of how Salesforce engages with potential and existing customers, and contributing to our continued innovation and industry leadership in the CRM space. We are seeking an experienced Senior Data Engineer to develop scalable data platforms and pipelines that enable marketing effectiveness measurement and customer targeting for AI/ML-driven marketing at Salesforce. In this role, you will work closely with our Data Science team to support the full lifecycle of model development, from data exploration to production deployment for our growing portfolio of production models. Responsibilities Design and implement scalable data platforms, pipelines, and features to support advanced statistical and machine learning techniques across batch and real-time processing scenarios Contribute to development and maintenance of Feature Stores to support ML algorithm development and deployment, ensuring efficient access to high-quality features for both marketing effectiveness and customer targeting models Build real-time and batch data processing systems, including ETL workflows, to integrate customer data from multiple sources (Snowflake, Data Cloud, etc.), ensuring data quality and accessibility for modeling purposes Collaborate with Analytics, Data Science, and Business teams to understand and meet their data needs for marketing effectiveness models (eg, Marketing Driven Pipe, Marketing Matured ACV) and customer targeting models (eg, Product Interest, Lead Scoring, Event Intelligence, Account Propensity) Implement data infrastructure to support model deployment, monitoring, and in-production tuning processes with output consumption through analytics platforms like Tableau Optimize data infrastructure for performance, scalability, reliability, and cost-efficiency Work with data stewards and custodians to ensure data quality, security, and governance, adhering to Salesforce's commitment to responsible and ethical use of data Share technical expertise and support junior team members Position Requirements 5+ years experience building enterprise-scale data platforms and pipelines for large-scale data sets in a cloud environment Strong knowledge in big data technologies such as SQL, Python, PySpark / Spark, Hive, Presto, Kafka Strong knowledge of data modeling techniques and tools, with emphasis on database design and ETL processes Strong experience with cloud platforms such as AWS, GCP, or Azure for data sourcing, supporting model development, and assisting with operationalization Experience with data engineering technologies such as dbt, Airflow, data warehouses (e.g., Snowflake, Redshift) and data lakes (e.g., S3, HDFS) Solid understanding of advanced statistical and machine learning techniques as to their data requirements Experience with customer data platforms (CDPs) and customer 360 initiatives Strong problem-solving and communication skills Passion for enabling data-driven marketing effectiveness measurement and customer targeting in B2B contexts Familiarity with Salesforce products and B2B customer data is advantageous This role offers an exciting opportunity to leverage your data engineering expertise to power data and AI-driven innovation for the world's #1 CRM provider, working closely with our Data Science team to unlock transformative value for our vast global customer base through AI/ML-driven marketing initiatives. Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Social Media Intern Before you finalize and submit your resumes, we warmly invite you to explore our mission and vision, which are at the heart of our work: Link to Mission and Vision If you've ever contemplated the potential for positive change through journalism, we invite you to be a part of our transformative movement. TheSocialTalks.com stands as an autonomous digital news platform committed to delivering news, narratives, comprehensive subject analyses, and insightful editorials on pertinent issues that significantly impact society. At TheSocialTalks, we tackle social and political matters with an unwavering commitment to impartiality and in-depth exploration. Empowered by a global team of writers and journalists, we collaborate to produce content aimed at cultivating an informative ecosystem. Our goal is not only to foster innovation but also to nourish the demand for elevated content quality. Responsibilities ● Content Creation: Assist in creating engaging and visually appealing content for our social media platforms, including but not limited to posts, stories, graphics, and videos. ● Scheduling and Posting: Help schedule and publish content on various social media channels according to the content calendar, ensuring consistent and timely updates. ● Community Engagement: Monitor and engage with our online community by responding to comments, messages, and interactions in a professional and friendly manner. ● Research and Trends: Stay up-to-date with social media trends, best practices, and emerging platforms to provide insights and suggestions for optimizing our strategies. ● Analytics and Reporting: Assist in tracking and analyzing key performance metrics on social media platforms, and contribute to the creation of regular reports to evaluate the effectiveness of campaigns. ● Collaboration: Work closely with the marketing team to align social media efforts with overall marketing goals and campaigns. ● Campaign Support: Support the development and execution of social media campaigns, contests, and promotions. ● Graphic Design: Basic graphic design skills to create eye-catching visuals that align with our brand identity. Qualifications and Skills: ● Currently pursuing a degree in Marketing, Communications, or a related field (or recent graduate). ● Passion for social media and a strong understanding of major social media platforms. ● Basic knowledge of social media management tools and analytics platforms. ● Creativity and the ability to think outside the box for content ideas. ● Excellent written communication skills and attention to detail. ● Basic graphic design skills using tools like Canva or Adobe Spark (preferred but not required). ● Ability to work independently, manage time effectively, and meet deadlines. ● Familiarity with trends in social media, digital marketing, and online engagement. ● Positive attitude, eagerness to learn, and a strong work ethic. Call for Internship TheSocialTalks are now open for internships and we welcome all the students who wish to spread their wisdom through words. Stipend: UNPAID [The internship begins as an unpaid opportunity, but there is potential for it to transition into a paid position based on performance during the internship period.] Duration: Three months Location: Remote or WFH website: https://thesocialtalks.com/ Thesocialtalks.com is an equal opportunity employer. We value diversity and encourage individuals from all backgrounds to apply. Upon the successful culmination of the internship, interns will receive recognition in the form of a Letter of Internship (LOI) along with a meticulously crafted letter of recommendation (contingent upon performance). These documents will serve as valuable assets for their forthcoming endeavors. The students are to send their CV saved as "yourfullname.pdf or docs" directly to apply poorvi.sharma@thesocialtalks.com (Or) https://thesocialtalks.com/contact/us/

The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities. Responsibilities: Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 12+ years of relevant experience in Apps Development or systems analysis role Extensive experience system analysis and in programming of software applications Experience in managing and implementing successful projects Subject Matter Expert (SME) in at least one area of Applications Development Ability to adjust priorities quickly as circumstances dictate Demonstrated leadership and project management skills Consistently demonstrates clear and concise written and verbal communication Skill sets: Database - oracle SQL/PL-SQL Bigdata - Spark,Scala,Hive Education: Bachelor’s degree/University degree or equivalent experience Master’s degree preferred This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. - Job Family Group: Technology - Job Family: Applications Development - Time Type: Full time - Most Relevant Skills Please see the requirements listed above. - Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. - Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View Citi’s EEO Policy Statement and the Know Your Rights poster.

The Applications Development Intermediate Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities. Responsibilities: Utilize knowledge of applications development procedures and concepts, and basic knowledge of other technical areas to identify and define necessary system enhancements, including using script tools and analyzing/interpreting code Consult with users, clients, and other technology groups on issues, and recommend programming solutions, install, and support customer exposure systems Apply fundamental knowledge of programming languages for design specifications. Analyze applications to identify vulnerabilities and security issues, as well as conduct testing and debugging Serve as advisor or coach to new or lower level analysts Identify problems, analyze information, and make evaluative judgements to recommend and implement solutions Resolve issues by identifying and selecting solutions through the applications of acquired technical experience and guided by precedents Has the ability to operate with a limited level of direct supervision. Can exercise independence of judgement and autonomy. Acts as SME to senior stakeholders and /or other team members. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Person Specification Knowledge/Experience: 5 to 8 years of experience in Software development Expertise in building ETL applications using Ab Initio. Good knowledge of RDBMS – Oracle, with ability to write complex SQL needed to investigate and analyse data issues 3years of experience in big data ecosystem Hadoop, Spark & Hive will be strong plus. Good in UNIX shell scripting. Hands on experience in Autosys/Control Centre scheduling tools. Proven 5+ years of experience in working with complex data warehouses. Strong influencing & interpersonal skills Willing to work flexible hours Skills: Strong design and execution bend of mind Candidate should possess a strong work ethic, good interpersonal, communication skills, and a high energy level. Candidate should share many common traits: Analytical thinker, quick learner who is capable of organizing and structuring information effectively; Ability to prioritize and manage schedules under tight, fixed deadlines. Excellent written and verbal communication skills. Ability to build relationships at all levels. Ability to independently work with vendors in resolving issues and developing solutions Strong interpersonal skills Qualifications: Bachelor of Science or Master degree in Computer Science or Engineering or related discipline. Competencies: Strong work organization and prioritization capabilities. Takes ownership and accountability for assigned work. Ability to manage multiple activities. Focused and determined in getting the job done right. Ability to identify and manage key risks and issues. Shows drive, integrity, sound judgment, adaptability, creativity, self-awareness and an ability to multitask and prioritize. Good change management discipline - Job Family Group: Technology - Job Family: Applications Development - Time Type: Full time - Most Relevant Skills Please see the requirements listed above. - Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. - Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View Citi’s EEO Policy Statement and the Know Your Rights poster.

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Job Description This role is responsible for driving multiple complex tracks of work to deliver Big Data solutions enabling advanced data science and analytics. This includes working with the team on new Big Data systems for analyzing data; the coding & development of advanced analytics solutions to make/optimize business decisions and processes; integrating new tools to improve descriptive, predictive, and prescriptive analytics; and discovery of new technical challenges that can be solved with existing and emerging Big Data hardware and software solutions. This role contributes to the structured and unstructured Big Data / Data Science tools of Allstate from traditional to emerging analytics technologies and methods. The role is responsible for assisting in the selection and development of other team members. Skills Primarily: Scala & Spark: Strong in functional programming and big data processing using Spark... Java: Proficient in Java 8+, REST API development, multithreading, and OOP concepts. Good Hands-on with MongoDB CAAS: Experience with Docker, Kubernetes, and deploying containerized apps. Tools: Git, CI/CD, JSON, SBT/Maven, Agile methodologies. Key Responsibilities Uses new areas of Big Data technologies, (ingestion, processing, distribution) and research delivery methods that can solve business problems Participates in the development of complex prototypes and department applications that integrate Big Data and advanced analytics to make business decisions Supports Innovation; regularly provides new ideas to help people, process, and technology that interact with analytic ecosystem Participates in the development of complex technical solutions using Big Data techniques in data & analytics processes Influence within the team on the effectiveness of Big Data systems to solve their business problems. Leverages and uses Big Data best practices / lessons learned to develop technical solutions used for descriptive analytics, ETL, predictive modeling, and prescriptive “real time decisions” analytics Partners closely with team members on Big Data solutions for our data science community and analytic users Partners with Allstate Technology teams on Big Data efforts Education Masters Degree (Preferred) Experience 6 or more years of experience (Preferred) Primary Skills Apache Spark, Big Data, Big Data Engineering, Big Data Systems, Big Data Technologies, CasaXPS, CI/CD, Data Science, Docker (Software), Git, Influencing Others, Java, MongoDB, Multithreading, RESTful APIs, Scala (Programming Language), ScalaTest, Spring Boot Shift Time Recruiter Info rkotz@allstate.com About Allstate The Allstate Corporation is one of the largest publicly held insurance providers in the United States. Ranked No. 84 in the 2023 Fortune 500 list of the largest United States corporations by total revenue, The Allstate Corporation owns and operates 18 companies in the United States, Canada, Northern Ireland, and India. Allstate India Private Limited, also known as Allstate India, is a subsidiary of The Allstate Corporation. The India talent center was set up in 2012 and operates under the corporation's Good Hands promise. As it innovates operations and technology, Allstate India has evolved beyond its technology functions to be the critical strategic business services arm of the corporation. With offices in Bengaluru and Pune, the company offers expertise to the parent organization’s business areas including technology and innovation, accounting and imaging services, policy administration, transformation solution design and support services, transformation of property liability service design, global operations and integration, and training and transition. Learn more about Allstate India here.

Job Title: Senior Data Engineer – Azure | ADF | Databricks | PySpark | AWS Location: Bangalore, Hyderabad, Chennai (Hybrid Mode) Experience Required: 5+ Years Notice Period: Immediate Job Description We are looking for a Senior Data Engineer who is passionate about designing and developing scalable data pipelines, optimizing data architecture, and working with advanced big data tools and cloud platforms. This is a great opportunity to be a key player in transforming data into meaningful insights by leveraging modern data engineering practices on Azure, AWS, and Databricks . You will be working with cross-functional teams including data scientists, analysts, and software engineers to deliver robust data solutions. The ideal candidate will be technically strong in Azure Data Factory, PySpark, Databricks, and AWS services , and will have experience in building end-to-end ETL workflows and driving business impact through data. Key Responsibilities Design, build, and maintain scalable and reliable data pipelines and ETL workflows Implement data ingestion and transformation using Azure Data Factory (ADF) and Azure Databricks (PySpark) Work across multiple data platforms including Azure, AWS, Snowflake, and Redshift Collaborate with data scientists and business teams to understand data needs and deliver solutions Optimize data storage, processing, and retrieval for performance and cost-effectiveness Develop data quality checks and monitoring frameworks for pipeline health Ensure data governance, security, and compliance with industry standards Lead code reviews, set data engineering standards, and mentor junior team members Propose and evaluate new tools and technologies for continuous improvement Must-Have Skills Strong programming skills in Python , SQL , or Scala Azure Data Factory , Azure Databricks , Synapse Analytics Hands-on with PySpark , Spark, Hadoop, Hive Experience with cloud platforms (Azure preferred; AWS/GCP acceptable) Data Warehousing: Snowflake , Redshift , BigQuery Strong ETL/ELT pipeline development experience Workflow orchestration tools such as Airflow , Prefect , or Luigi Excellent problem-solving, debugging, and communication skills Nice to Have Experience with real-time streaming tools (Kafka, Flink, Spark Streaming) Exposure to data governance tools and regulations (GDPR, HIPAA) Familiarity with ML model integration into data pipelines Containerization and CI/CD exposure: Docker, Git, Kubernetes (basic) Experience with Vector databases and unstructured data handling Technical Environment Programming: Python, Scala, SQL Big Data Tools: Spark, Hadoop, Hive Cloud Platforms: Azure (ADF, Databricks, Synapse), AWS (S3, Glue, Lambda), GCP Data Warehousing: Snowflake, Redshift, BigQuery Databases: PostgreSQL, MySQL, MongoDB, Cassandra Orchestration: Apache Airflow, Prefect, Luigi Tools: Git, Docker, Azure DevOps, CI/CD pipelines Soft Skills Strong analytical thinking and problem-solving abilities Excellent verbal and written communication Collaborative team player with leadership qualities Self-motivated, organized, and able to manage multiple projects Education & Certifications Bachelor’s or Master’s Degree in Computer Science, IT, Engineering, or equivalent Cloud certifications (e.g., Microsoft Azure Data Engineer, AWS Big Data) are a plus Key Result Areas (KRAs) Timely delivery of high-performance data pipelines Quality of data integration and governance compliance Business team satisfaction and data readiness Proactive optimization of data processing workloads Key Performance Indicators (KPIs) Pipeline uptime and performance metrics Reduction in overall data latency Zero critical issues in production post-release Stakeholder satisfaction score Number of successful integrations and migrations Job Types: Full-time, Permanent Pay: ₹1,559,694.89 - ₹2,441,151.11 per year Benefits: Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Application Question(s): What is your notice period in days? Experience: Azure Data Factory, Azure Databricks, Synapse Analytics: 5 years (Required) Python, SQL, or Scala: 5 years (Required) Work Location: In person

Company Description At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. Job Description Responsibilities: Research, design, develop, implement and test econometric, statistical, optimization and machine learning models. Design, write and test modules for Nielsen analytics platforms using Python, R, SQL and/or Spark. Utilize advanced computational/statistics libraries including Spark MLlib, Scikit-learn, SciPy, StatsModels. Collaborate with cross functional Data Science, Product, and Technology teams to integrate best practices from across the organization Provide leadership and guidance for the team in the of adoption of new tools and technologies to improve our core capabilities Execute and refine the roadmap to upgrade the modeling/forecasting/control functions of the team to improve upon the core service KPI’s Ensure product quality, stability, and scalability by facilitating code reviews and driving best practices like modular code, unit tests, and incorporating CI/CD workflows Explain complex data science (e.g. model-related) concepts in simple terms to non-technical internal and external audiences Qualifications Key Skills: 5+ years of professional work experience in Statistics, Data Science, and/or related disciplines, with focus on delivering analytics software solutions in a production environment Strong programming skills in Python with experience in NumPy, Pandas, SciPy and Scikit-learn. Hands-on experience with deep learning frameworks (PyTorch, TensorFlow, Keras). Solid understanding of Machine learning domains such as Computer Vision, Natural Language Processing and classical Machine Learning. Proficiency in SQL and NoSQL databases for large-scale data manipulation Experience with cloud-based ML services (AWS SageMaker, Databricks, GCP AI, Azure ML). Knowledge of model deployment (FastAPI, Flask, TensorRT, ONNX) MLOps tools (MLflow, Kubeflow, Airflow) and containerization. Preferred skills: Understanding of LLM fine-tuning, tokenization, embeddings, and multimodal learning. Familiarity with vector databases (FAISS, Pinecone) and retrieval-augmented generation (RAG). Familiarity with advertising intelligence, recommender systems, and ranking models. Knowledge of CI/CD for ML workflows, and software development best practices. Additional Information Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

About Tarento: Tarento is a fast-growing technology consulting company headquartered in Stockholm, with a strong presence in India and clients across the globe. We specialize in digital transformation, product engineering, and enterprise solutions, working across diverse industries including retail, manufacturing, and healthcare. Our teams combine Nordic values with Indian expertise to deliver innovative, scalable, and high-impact solutions. We're proud to be recognized as a Great Place to Work , a testament to our inclusive culture, strong leadership, and commitment to employee well-being and growth. At Tarento, you’ll be part of a collaborative environment where ideas are valued, learning is continuous, and careers are built on passion and purpose. Job Description: Responsible for designing, developing, and maintaining data pipelines and infrastructure using Microsoft- Azure Data Fabric platform, with a particular focus on Azure Synapse Analytics and Spark Data Pools. Data Pipeline Development: Design, implement, and manage end-to-end data pipelines using Azure Data Factory, Synapse Analytics, and other Azure services. Spark Data Pools: Leverage Spark Data Pools within Azure Synapse Analytics to process and analyse large-scale datasets in a distributed environment. Data Integration: Develop solutions to integrate data from various sources (structured, semi-structured) into a centralized data lake or warehouse. Data Modelling: Collaborate with data architects to create efficient data models that support business analytics and reporting needs. Performance Optimization: Monitor and optimize the performance of data pipelines, ensuring efficient data processing and storage, particularly when using Spark in a big data environment. Azure Synapse Analytics: Utilize Azure Synapse Analytics for complex data integration, big data processing, and advanced analytics solutions Python Programming, SQL, PySpark Expertise

Company Overview Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM). What You'll Do Fullstack Engineer to contribute to the technical vision and execution of our Marketing Technology systems. You'll design and develop scalable, secure solutions that support evolving marketing needs while ensuring high system performance and reliability. This role involves close collaboration with cross-functional teams, mentoring peers, and continuously integrating innovative technologies. Your work will directly impact how we deliver business value through best-in-class martech solutions. This position is an invididual contributor role reporting to the Engineering Manager, Marketing Technology. Responsibility Craft and implement a robust technical strategy for our marketing technology systems, ensuring they align with our business objectives and adapt to changing market conditions Provide technical expertise in the design, development, and deployment of scalable, efficient solutions that address current and future marketing needs Help team to design and refine the architecture of our marketing technology stack, emphasizing scalability, reliability, and security to handle increasing volumes of data and complex integrations Ensure the continuous operational efficiency of our marketing platforms, focusing on system availability, performance, and the integration of best-in-class tools and practices Work closely with Marketing, Sales, and Product teams to understand their needs and translate these into innovative technical solutions that drive significant business value Mentor and support the professional development of team members, promoting a culture of excellence, innovation, and continuous improvement Proactively explore and integrate cutting-edge technologies and methodologies to keep Docusign at the forefront of marketing technology. Job Designation Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation) Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law. What You Bring Basic Bachelor’s or Master’s Degree in Computer Science, Engineering, or a related field 5+ years of experience in software engineering, with significant expertise in marketing technology systems within a dynamic industry setting Advanced skills in designing and deploying scalable, high-performance distributed systems Proficient in managing data storage solutions and distributed computing environments, including technologies like Hive, Spark, and various NOSQL databases (such as Postgres, MongoDB, CosmosDB) Experience in design and implementation of microservices and containerization technologies (e.g., Docker, Kubernetes) for deploying microservices Proficiency in programming languages commonly used in backend development (e.g., Python, Java/Kotlin, Node.js, React.js) Demonstrated technical leadership ability in steering cross-functional technology teams through complex project landscapes Strong analytical and problem-solving skills, with a proven track record of crafting and implementing effective technical solutions Experience with any of the cloud services (AWS, Azure, GCP) Preferred Skilled in programming with Java/Kotlon, Javascript/Typescript or Python, and a solid grasp of software development principles and practices Experience in leveraging data-centric technologies to enhance marketing personalization and effectiveness Knowledgeable in applying agile methodologies, leading teams in rapid development cycles to evolve and refine technology solutions continuously Comprehensive understanding of data governance practices, including frameworks and policies related to data classification, lineage, quality, privacy, and retention Outstanding communication abilities, capable of effectively collaborating and negotiating with stakeholders at all organizational levels A history of initiating and driving technical innovations that enhance system robustness and operational efficiency Knowledge of marketing technology and analytics Life At Docusign Working here Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what’s right, every day. At Docusign, everything is equal. We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you’ll be loved by us, our customers, and the world in which we live. Accommodation Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com. If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance. Our global benefits Paid time off Take time to unwind with earned days off, plus paid company holidays based on your region. Paid parental leave Take up to six months off with your child after birth, adoption or foster care placement. Full health benefits Options for 100% employer-paid health plans from day one of employment. Retirement plans Select retirement and pension programs with potential for employer contributions. Learning & development Grow your career with coaching, online courses and education reimbursements. Compassionate care leave Paid time off following the loss of a loved one and other life-changing events.

Description for Internal Candidates The Risk division is responsible for credit, market and operational risk, model risk, independent liquidity risk, and insurance throughout the firm. The Goldman Sachs Group, Inc. is a leading global investment banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base that includes corporations, financial institutions, governments, and individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in all major financial centers around the world. We commit people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Our people are our greatest asset – we say it often and with good reason. It is only with the determination and dedication of our people that we can serve our clients, generate long-term value for our shareholders and contribute to the broader public. We take pride in supporting each colleague both professionally and personally. From collaborative workspaces and ergonomic services to wellbeing and resilience offerings, we offer our people the flexibility and support they need to reach their goals in and outside the office. RISK BUSINESS The Risk Business identifies, monitors, evaluates, and manages the firm’s financial and non-financial risks in support of the firm’s Risk Appetite Statement and the firm’s strategic plan. Operating in a fast paced and dynamic environment and utilizing the best in class risk tools and frameworks, Risk teams are analytically curious, have an aptitude to challenge, and an unwavering commitment to excellence. Overview To ensure uncompromising accuracy and timeliness in the delivery of the risk metrics, our platform is continuously growing and evolving market, Risk Engineering combines the principles of Computer Science, Mathematics and Finance to produce large scale, computationally intensive calculations of risk Goldman Sachs faces with each transaction we engage in. Market Risk Engineering has an opportunity for an Associate level Software Engineer to work across a broad range of applications and extremely diverse set of technologies to keep the suite operating at peak efficiency. As an Engineer in the Risk Engineering organization, you will have the opportunity to impact one or more aspects of risk management. You will work with a team of talented engineers to drive the build & adoption of common tools, platforms, and applications. The team builds solutions that are offered as a software product or as a hosted service. We are a dynamic team of talented developers and architects who partner with business areas and other technology teams to deliver high profile projects using a raft of technologies that are fit for purpose (Java, Cloud computing, HDFS, Spark, S3, ReactJS, Sybase IQ among many others). A glimpse of the interesting problems that we engineer solutions for, include acquiring high quality data, storing it, performing risk computations in limited amount of time using distributed computing, and making data available to enable actionable risk insights through analytical and response user interfaces. WHAT WE LOOK FOR Senior Developer in large projects across a global team of developers and risk managers Performance tune applications to improve memory and CPU utilization. Perform statistical analyses to identify trends and exceptions related Market Risk metrics. Build internal and external reporting for the output of risk metric calculation using data extraction tools, such as SQL, and data visualization tools, such as Tableau. Utilize web development technologies to facilitate application development for front end UI used for risk management actions Develop software for calculations using databases like Snowflake, Sybase IQ and distributed HDFS systems. Interact with business users for resolving issues with applications. Design and support batch processes using scheduling infrastructure for calculation and distributing data to other systems. Oversee junior technical team members in all aspects of Software Development Life Cycle (SDLC) including design, code review and production migrations. Skills And Experience Bachelor’s degree in Computer Science, Mathematics, Electrical Engineering or related technical discipline 2 -3years’ experience is working risk technology team in another bank, financial institution. Experience in market risk technology is a plus. Experience with one or more major relational / object databases. Experience in software development, including a clear understanding of data structures, algorithms, software design and core programming concepts Comfortable multi-tasking, managing multiple stakeholders and working as part of a team Comfortable with working with multiple languages Technologies: Scala, Java, Python, Spark, Linux and shell scripting, TDD (JUnit), build tools (Maven/Gradle/Ant) Experience in working with process scheduling platforms like Apache Airflow. Should be ready to work in GS proprietary technology like Slang/SECDB An understanding of compute resources and the ability to interpret performance metrics (e.g., CPU, memory, threads, file handles). Knowledge and experience in distributed computing – parallel computation on a single machine like DASK, Distributed processing on Public Cloud. Knowledge of SDLC and experience in working through entire life cycle of the project from start to end

Job requisition ID :: 84163 Date: Jun 23, 2025 Location: Bengaluru Designation: Senior Consultant Entity: We are seeking a Senior Data Engineer with extensive experience in cloud platforms and data engineering tools, with a strong emphasis on Databricks. The ideal candidate will have deep expertise in designing and optimizing data pipelines, building scalable ETL workflows, and leveraging Databricks for advanced analytics and data processing. Experience with Google Cloud Platform is beneficial, particularly in integrating Databricks with cloud storage solutions and data warehouses such as BigQuery. The candidate should have a proven track record of working on data enablement projects across various data domains and be well-versed in the Data as a Product approach, ensuring data solutions are scalable, reusable, and aligned with business needs. Key Responsibilities: Design, develop, and optimize scalable data pipelines using Databricks, ensuring efficient data ingestion, transformation, and processing. Implement and manage data storage solutions, including Delta Tables for structured storage and seamless data versioning. 5+ years of experience with cloud data services, with a strong focus on Databricks and its integration with Google Cloud Platform storage and analytics tools such as BigQuery. Leverage Databricks for advanced data processing, including the development and optimization of data workflows, Delta Live Tables, and ML-based data transformations. Monitor and optimize Databricks performance, focusing on cluster configurations, resource utilization, and Delta Table performance tuning. Collaborate with cross-functional teams to drive data enablement projects, ensuring scalable, reusable, and efficient solutions using Databricks. Apply the Data as a Product / Data as an Asset approach, ensuring high data quality, accessibility, and usability within Databricks environments. 5+ years of experience with analytical software and languages, including Spark (Databricks Runtime), Python, and SQL for data engineering and analytics. Should have strong expertise in Data Structures and Algorithms (DSA) and problem-solving, enabling efficient design and optimization of data workflows. Experienced in CI/CD pipelines using GitHub for automated data pipeline deployments within Databricks. Experienced in Agile/Scrum environments, contributing to iterative development processes and collaboration within data engineering teams. Experience in Data Streaming is a plus, particularly leveraging Kafka or Spark Structured Streaming within Databricks. Familiarity with other ETL/ELT tools is a plus, such as Qlik Replicate, SAP Data Services, or Informatica, with a focus on integrating these with Databricks. Qualifications: A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline. Over 5 years of hands-on experience in data engineering or a closely related field. Proven expertise in AWS and Databricks platforms. Advanced skills in data modeling and designing optimized data structures. Knowledge of Azure DevOps and proficiency in Scrum methodologies. Exceptional problem-solving abilities paired with a keen eye for detail. Strong interpersonal and communication skills for seamless collaboration. A minimum of one certification in AWS or Databricks, such as Cloud Engineering, Data Services, Cloud Practitioner, Certified Data Engineer, or an equivalent from reputable MOOCs.

Help empower our global customers to connect to culture through their passions. Technology at StockX Our Technology Team is on a mission to build the next generation e-commerce platform for the next generation customer. We build world-class, innovative experiences and products that give our users access to the world's most-coveted products and unlock economic opportunity by turning reselling into a business for anyone. Our team uses cutting edge technologies that handle massive scale globally. We're an internet-native, cloud-native company from day 1 - you won't find legacy technology here. If you're a curious leader who loves solving problems, wearing multiple hats, and learning new things, join us! About the role As a Senior Data Engineer, you will be empowered to leverage data to drive amazing customer experiences and business results. You will own the end to end development of data engineering solutions to support analytical needs of the business. The ideal candidate will be passionate about working with disparate datasets and be someone who loves to bring data together to answer business questions at speed. You should have deep expertise in the creation and management of datasets and the proven ability to translate the data into meaningful insights through collaboration with analysts, data scientists and business stakeholders. What you'll do Design and build mission critical data pipelines with a highly scalable distributed architecture - including data ingestion (streaming, events and batch), data integration, data curation Help continually improve ongoing reporting and analysis processes, simplifying self-service support for business stakeholders Build and support reusable framework to ingest, integration and provision data Automation of end to end data pipeline with metadata, data quality checks and audit Build and support a big data platform on the cloud Define and implement automation of jobs and testing Optimize the data pipeline to support ML workloads and use cases Support mission critical applications and near real time data needs from the data platform Capture and publish metadata and new data to subscribed users Work collaboratively with business analysts, product managers, data scientists as well as business partners and actively participate in design thinking session Participate in design and code reviews Motivate, coach, and serve as a role model and mentor for other development team associates/members that leverage the platform About you Minimum of 5 years' experience in data warehouse / data lake technical architecture 3+ years of experience in using programming languages (Python / Scala / Java / C#) to build data pipelines Minimum 3 years of Big Data and Big Data tools in one or more of the following: Batch Processing (e.g. Hadoop distributions, Spark), Real time processing (e.g. Kafka, Flink/Spark Streaming) Minimum of 2 years' experience with AWS or engineering in other cloud environments Experience with Database Architecture/Schema design Strong familiarity with batch processing and workflow tools such as AirFlow, NiFi Ability to work independently with business partners and management to understand their needs and exceed expectations in delivering tools/solutions Strong interpersonal, verbal and written communication skills and ability to present complex technical/analytical concepts to executive audience Strong business mindset with customer obsession; ability to collaborate with business partners to identify needs and opportunities for improved data management and delivery Experience providing technical leadership and mentoring other engineers for best practices on data engineering Bachelor's degree in Computer Science, or a related technical field Nice to have: Masters in Computer Science or related quantitative field About StockX StockX is proud to be a Detroit-based technology leader focused on the large and growing online market for sneakers, apparel, accessories, electronics, collectibles, trading cards, and more. StockX's powerful platform connects buyers and sellers of high-demand consumer goods from around the world using dynamic pricing mechanics. This approach affords access and market visibility powered by real-time data that empowers buyers and sellers to determine and transact based on market value. The StockX platform features hundreds of brands across verticals including Jordan Brand, adidas, Nike, Supreme, BAPE, Off-White, Louis Vuitton, Gucci; collectibles from brands including LEGO, KAWS, Bearbrick, and Pop Mart; and electronics from industry-leading manufacturers Sony, Microsoft, Meta, and Apple. Launched in 2016, StockX employs 1,000 people across offices and verification centers around the world. Learn more at www.stockx.com. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. This job description is intended to convey information essential to understanding the scope of the job and the general nature and level of work performed by job holders within this job. However, this job description is not intended to be an exhaustive list of qualifications, skills, efforts, duties, responsibilities or working conditions associated with the position. StockX reserves the right to amend this job description at any time. StockX may utilize AI to rank job applicant submissions against the position requirements to assist in determining candidate alignment.

As passionate about our people as we are about our mission. What We’re All About: Q2 is proud of delivering our mobile banking platform and technology solutions, globally, to more than 22 million end users across our 1,300 financial institutions and fintech clients. At Q2, our mission is simple: Build strong, diverse communities by strengthening their financial institutions. We accomplish that by investing in the communities where both our customers and employees serve and live. What Makes Q2 Special? Being as passionate about our people as we are about our mission. We celebrate our employees in many ways, including our “Circle of Awesomeness” award ceremony and day of employee celebration among others! We invest in the growth and development of our team members through ongoing learning opportunities, mentorship programs, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun. We hold an annual Dodgeball for Charity event at our Q2 Stadium in Austin, inviting other local companies to play, and community organizations we support to raise money and awareness together. Q2 is seeking a Data Migration Engineer that will join an existing data migration team that’s responsible for converting the client’s online banking data from their legacy system onto the Q2 platform. This is a technical implementation role that requires mid-sized application experience. The Data Migration Analyst will work closely with the Platform and Project Services Implementation teams to migrate client’s data from their legacy online banking provider to Q2’s required data format. The preferred candidate will be an exceptionally detail-oriented, energetic, self-starter who can work independently and in a team setting. We are seeking an analytically minded individual passionate about data and one with a keen eye for detail! This role is working in one of the most visible departments at Q2 and you will have the opportunity for a lot of career growth and development. RESPONSIBILITIES: Construct and schedule automated processes and create custom processing scripts Regularly troubleshoot complex client application, integration and environment issues Troubleshoot and resolve customer data migration problems of a complex nature Thoroughly document and track production environment modifications Manage multiple projects while regularly receiving escalated cases from management and prioritize accordingly Escalate unresolved problems to the appropriate resources Establish relationships with other partner teams that impact technical support including Implementation Teams, Data Center Operations, QA, and Development Follow internal change control processes to implement any required production modifications Contribute to a knowledge/FAQ database for supported software Responsible for ensuring that all security, availability, confidentiality and privacy policies and controls are adhered to Perform other duties and responsibilities as assigned EXPERIENCE AND KNOWLEDGE: Typically requires 2 – 5 years previous related experience along with BTech. Excellent communication, analytical, and problem-solving skills required Keen attention to detail while keeping an eye toward the big picture Database knowledge with MS SQL 2005 or 2008 experience required Experience with Python, advanced SQL Scripting (TSQL), and .net programming Availability to work weekends and the occasional late night or early morning is required Enterprise/mid-sized software delivery experience preferred Understanding of remote tools and networking required Ability to deal with ambiguity, tight timelines and demanding constraints Ability to work on multiple assignments, prioritize, and resolve issues in a timely manner within a high-pressure environment Innate desire to find the root cause of technical issues, while balancing business needs to identify, support, and solve customer needs Knowledge of banking practices is helpful This position requires fluent written and oral communication in English. Health & Wellness Hybrid Work Opportunities Flexible Time Off Career Development & Mentoring Programs Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents Community Volunteering & Company Philanthropy Programs Employee Peer Recognition Programs – “You Earned it” Click here to find out more about the benefits we offer. How We Give Back to the Community: You can learn more about our Q2 Spark Program, Q2 Philanthropy fund, and our employee volunteering programs on our Q2 Community page . Q2 supports dozens of wide-reaching organizations, such as the African American Leadership Institute , and The Trevor Project , promoting diversity and success in leadership and technology. Other deserving beneficiaries include Resource Center helping LGBTQ communities, JDRF , and Homes for our Troops , a group helping veterans rebuild their lives with specially adapted homes. At Q2, our goal is to be a diverse and inclusive workforce that fosters mutual respect for our employees and the communities we serve. Q2 is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job Title: Senior AI Engineer Location: Bengaluru, India - (Hybrid) At Reltio®, we believe data should fuel business success. Reltio's AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. Reltio Data Cloud™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our "Customer First", we strive to ensure their success. We embrace our differences and are "Better Together" as One Reltio. We are always looking to "Simplify and Share" our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We "Own It". Every day, we innovate and evolve, so that today is "Always Better Than Yesterday". If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you're ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let's talk! Job Summary: As a Senior AI Engineer at Reltio, you will be a core part of the team responsible for building intelligent systems that enhance data quality, automate decision-making, and drive entity resolution at scale. You will work with cross-functional teams to design and deploy advanced AI/ML solutions that are production-ready, scalable, and embedded into our flagship data platform. This is a high-impact engineering role with exposure to cutting-edge problems in entity resolution, deduplication, identity stitching, record linking, and metadata enrichment . Job Duties and Responsibilities: Design, implement, and optimize state-of-the-art AI/ML models for solving real-world data management challenges such as entity resolution, classification, similarity matching, and anomaly detection. Work with structured, semi-structured, and unstructured data to extract signals and engineer intelligent features for large-scale ML pipelines. Develop scalable ML workflows using Spark, MLlib, PyTorch, TensorFlow, or MLFlow , with seamless integration into production systems. Translate business needs into technical design and collaborate with data scientists, product managers, and platform engineers to operationalize models. Continuously monitor and improve model performance using feedback loops, A/B testing, drift detection, and retraining strategies. Conduct deep dives into customer data challenges and apply innovative machine learning algorithms to address accuracy, speed, and bias. Actively contribute to research and experimentation efforts, staying updated with latest AI trends in graph learning, NLP, probabilistic modeling , etc. Document designs and present outcomes to both technical and non-technical stakeholders , fostering transparency and knowledge sharing. Skills You Must Have: Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence , or related field. PhD is a plus. 5+ years of hands-on experience in developing and deploying machine learning models in production environments. Proficiency in Python (NumPy, scikit-learn, pandas, PyTorch/TensorFlow) and experience with large-scale data processing tools ( Spark, Kafka, Airflow ). Strong understanding of ML fundamentals , including classification, clustering, feature selection, hyperparameter tuning, and evaluation metrics. Demonstrated experience working with entity resolution, identity graphs, or data deduplication . Familiarity with containerized environments (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure) Strong debugging, analytical, and communication skills with a focus on delivery and impact. Attention to detail, ability to work independently, and a passion for staying updated with the latest advancements in the field of data science Skills Good to Have: Experience with knowledge graphs, graph-based ML, or embedding techniques . Exposure to deep learning applications in data quality, record matching, or information retrieval . Experience building explainable AI solutions in regulated domains. Prior work in SaaS, B2B enterprise platforms , or data infrastructure companies . Why Join Reltio?* Health & Wellness: Comprehensive Group medical insurance, including your parent,s with additional top-up options. Accidental Insurance Life insurance Free online unlimited doctor consultations An Employee Assistance Program (EAP) Work-Life Balance: 36 annual leaves, which include Sick leaves – 18, Earned Leaves - 18 26 weeks of maternity leave, 15 days of paternity leave Very unique to Reltio - 01 week of additional off as recharge week every year globally Support for home office setup: Home office setup allowance. Stay Connected, Work Flexibly: Mobile & Internet Reimbursement No need to pack a lunch—we've got you covered with a free meal. And many more….. Reltio is proud to be an equal opportunity workplace. 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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.