69353 Sql Jobs - Page 3

About the Role Love deep data? Love discussing solutions instead of problems? Then you could be our next Data Scientist. In a nutshell, your primary responsibility will be enhancing the productivity and utilization of the generated data. Other things you will do are: Work closely with the business stakeholders Transform scattered pieces of information into valuable data Share and present your valuable insights with peers What You Will Do Develop models and run experiments to infer insights from hard data Improve our product usability and identify new growth opportunities Understand reseller preferences to provide them with the most relevant products Designing discount programs to help our resellers sell more Help resellers better recognize end-customer preferences to improve their revenue Use data to identify bottlenecks that will help our suppliers meet their SLA requirements Model seasonal demand to predict key organizational metrics Mentor junior data scientists in the team What You Will Need Bachelor's/Master's degree in computer science (or similar degrees) 2-4 years of experience as a Data Scientist in a fast-paced organization, preferably B2C Familiarity with Neural Networks, Machine Learning, etc. Familiarity with tools like SQL, R, Python, etc. Strong understanding of Statistics and Linear Algebra Strong understanding of hypothesis/model testing and ability to identify common model testing errors Experience designing and running A/B tests and drawing insights from them Proficiency in machine learning algorithms Excellent analytical skills to fetch data from reliable sources to generate accurate insights Experience in tech and product teams is a plus Bonus points for: Experience in working on personalization or other ML problems Familiarity with Big Data tech stacks like Apache Spark, Hadoop, Redshift, etc.

JOb Responsibilities: The Data Scientists will leverage expertise in advanced statistical and modelling techniques to design, prototype, and build the next-generation analytics engines and services. They will work closely with the analytics teams and business teams to derive actionable insights, helping the organization in achieving its’ strategic goals. Their work will involve high levels of interaction with the integrated analytics team, including data engineers, translators, and more senior data scientists. Has expertise in implementing complex statistical analyses for data processing, exploration, model building and implementation Lead teams of 2-3 associate data scientists in the use case building and delivery process Can communicate complex technical concepts to both technical and non-technical audience Plays a key role in driving ideation around the modelling process and developing models. Can conceptualize and drive re-iteration and fine tuning of models Contribute to knowledge building and sharing by researching best practices, documenting solutions, and continuously iterating on new ways to solve problems. Mentors junior team members to do the same REQUIRED EDUCATION AND EXPERIENCE: Master’s degree in Computer Science, Statistics, Math, Operations Research, Economics, or a related field Advanced level programming skills in at least 1 coding language (R/Python/Scala) Practical experience of developing advanced statistical and machine learning models At least 2 years of relevant analytics experience Experience in using large database systems preferred Has developed niche expertise in at least one functional domain REQUIRED SKILLS: Ability to work well in agile environments in diverse teams with multiple stakeholders Experience of leading small teams Able to problem solve complex problems and break them down into simpler parts Ability to effectively communicate complex analytical and technical content High energy and passionate individual who can work closely with other team members Strong entrepreneurial drive to test new out of the box techniques Able to prioritize workstreams and adopt an agile approach Willing to adopt an iterative approach; experimental mindset to drive innovation

Experience: 2 + years Expected Notice Period: 30 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Office (Pune) Placement Type: Full Time Permanent position Must have skills required: Airflow, LLMs, NLP, Statistical Modeling, Predictive Analysis, Forecasting, Python, SQL, MLFlow, pandas, Scikit-learn, XgBoost As an ML / Data Science Engineer at Anervea, youll work on designing, training, deploying, and maintaining machine learning models across multiple products. Youll build models that predict clinical trial outcomes, extract insights from structured and unstructured healthcare data, and support real-time scoring for sales or market access use cases. Youll collaborate closely with AI engineers, backend developers, and product owners to translate data into product features that are explainable, reliable, and impactful. Key Responsibilities Develop and optimize predictive models using algorithms such as XGBoost, Random Forest, Logistic Regression, and ensemble methods Engineer features from real-world healthcare data (clinical trials, treatment adoption, medical events, digital behavior) Analyze datasets from sources like ClinicalTrials.gov, PubMed, Komodo, Apollo.io, and internal survey pipelines Build end-to-end ML pipelines for inference and batch scoring Collaborate with AI engineers to integrate LLM-generated features with traditional models Ensure explainability and robustness of models using SHAP, LIME, or custom logic Validate models against real-world outcomes and client feedback Prepare clean, structured datasets using SQL and Pandas Communicate insights clearly to product, business, and domain teams Document all processes, assumptions, and model outputs thoroughly Technical Skills Required : Strong programming skills in Python (NumPy, Pandas, scikit-learn, XGBoost, LightGBM) Experience with statistical modeling and classification algorithms Solid understanding of feature engineering, model evaluation, and validation techniques Exposure to real-world healthcare, trial, or patient data (strong bonus) Comfortable working with unstructured data and data cleaning techniques Knowledge of SQL and NoSQL databases Familiarity with ML lifecycle tools (MLflow, Airflow, or similar) Bonus: experience working alongside LLMs or incorporating generative features into ML Bonus: knowledge of NLP preprocessing, embeddings, or vector similarity methods Personal Attributes : Strong analytical and problem-solving mindset Ability to convert abstract questions into measurable models Attention to detail and high standards for model quality Willingness to learn life sciences concepts relevant to each use case Clear communicator who can simplify complexity for product and business teams Independent learner who actively follows new trends in ML and data science Reliable, accountable, and driven by outcomesnot just code Bonus Qualities : Experience building models for healthcare, pharma, or biotech Published work or open-source contributions in data science Strong business intuition on how to turn models into product decisions

Job Title: SAP Event Management Consultant Experience: 612 Years Locations: Hyderabad, Bangalore, Chennai, Pune, New Delhi, Mumbai Job Summary: We are seeking an experienced SAP Event Management Consultant to manage and optimize event-driven processes within our SAP landscape. The ideal candidate will have a strong background in SAP Event Management (EM), integration with IDOC inbound and outbound, and proficiency in managing qRFCs. Additionally, experience in configuring unexpected events and developing SQL queries in HANA is essential. Key Responsibilities: SAP Event Management Configuration: Implement and configure SAP EM components, including Rule Sets, Event Handlers, and Parameters. Manage and maintain qRFCs to ensure seamless data processing and event handling. Configure and manage unexpected events to handle anomalies effectively. Integration Expertise: Understand and manage SAP EM integration with IDOC inbound and outbound processes. Collaborate with cross-functional teams to ensure smooth data flow and event processing. SQL and HANA Development: Develop and optimize SQL queries in HANA to support event processing and reporting. Analyze and troubleshoot database-related issues to ensure optimal performance. System Monitoring and Optimization: Monitor SAP EM processes to identify and resolve issues proactively. Implement best practices for system performance and reliability. Required Qualifications: Experience: 6–12 years of experience in SAP Event Management. Proven track record in managing and maintaining qRFCs. Experience in configuring Rule Sets, Event Handlers, and Parameters. Strong understanding of SAP EM integration with IDOC inbound and outbound processes. Technical Skills: Proficiency in SQL and HANA query development. Ability to configure and manage unexpected events within SAP EM. Communication Skills: Excellent verbal and written communication skills. Ability to collaborate effectively with cross-functional teams and stakeholders.

Requirement: Developing applications using Java - Very strong foundations and work experience required • Hands-on experience working in J2EE environments. • Strong NoSQL (Cassandra. couchbase) and Oracle database skills • Involved in creating and managing Web Services as a part of the application. • Hands-on experience in Middle-ware development • Working experience in the Development of REST API • Hands-on experience in SOAP • Hands-on experience in Microservices • Experience in using JAX-RS, Jason • Front end technologies - JSP, AngularJs, JQuery, HTML / CSS • Bachelor s degree in Computer Science or related field or the foreign equivalent and 5 years of progressively responsible post-baccalaureate relevant work experience. In the alternative, we will accept a master s degree in Computer Science or related field or the foreign equivalent and 3 years of relevant work experience. • Experience in the technical domain. • Experience with SS7 or Diameter protocols is a must.

Expected Notice Period: 15 Days Shift: (GMT+05:30) Asia/Kolkata (IST) What do you need for this opportunity? Must have skills required: Java Backend, Playwright, Vitest, React Js, CSS3, Figma, HTML5, JavaScript, SQL Bamboo Rose is Looking for: About the Role: Were seeking a Front-End Software Engineer to join our high-performing Engineering team. In this role, youll help bring our platform to life through modern, intuitive, and scalable user interfaces. Youll work closely with product managers, designers, and backend engineers to create engaging web applications that help our customers manage their product development and sourcing processes more effectively. What Youll Do: Design, build and maintain user interfaces using React.js and related technologies. Create reusable, performant components and front-end libraries that scale across the application. Collaborate with product managers and designers to translate wireframes into clean, production-ready interfaces Write clean, maintainable and testable code. Participate in code reviews, advocating for quality, structure and best practices. Troubleshoot and resolve issues across the frontend stack. Engage in Agile ceremonies and contribute to our Front-End Guild and tooling/process improvements. What Were Looking For: Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience). 4+ years of professional experience in frontend software development. Proficiency with React.js, JavaScript (ES6+), HTML5, and CSS3. Solid understanding of frontend architecture, performance optimization and responsive design. Experience with Java backend systems or relevant frameworks. Understanding of UI/UX principles and experience working with tools like Figma, Sketch, or similar. Experience with frontend testing tools/frameworks such as Vitest and Playwright is a plus. Experience working with Git, Bitbucket. Bonus: familiarity with relational databases and basic SQL. Bonus: experience working with jQuery, Angular, or other legacy frontend stacks. Strong communication skills, with the ability to explain technical concepts clearly to non-technical stakeholders. Comfortable working in an Agile/Scrum environment. A continuous learner whos passionate about staying up to date with the latest in frontend tech

Job Location: Pune, Bangalore, or Gurugram Available to join immediately or within a notice period of up to 30 days. MANDATE SKILLS -Python, Spark, Airflow, SQL, Snowflake Over 5 years of overall experience in the data engineering and analytics industry. 3+ years of hands-on experience with Python, Apache Spark, and Apache Airflow for building scalable data pipelines and ETL workflows. Proficient in SQL with strong knowledge of data querying and transformation; experience with Snowflake is a plus. Solid experience working with both relational (e.g., PostgreSQL, MySQL) and non-relational databases (e.g., MongoDB, Cassandra). Strong understanding of data modeling principles and the design of both batch and real-time data pipelines. Proven track record of developing robust, scalable solutions in cloud environments such as AWS, Azure, or GCP. Well-versed in DevOps practices including CI/CD, infrastructure as code, and containerization. Experienced in Agile development methodologies with active participation in sprint planning, standups, and retrospectives. For more information, please share your updated CV at admin@spearheadps.com or contact me via call/WhatsApp at 9899080360

About the Role M2P Fintech is looking for highly passionate, hands-on leader to deliver reliable and sustainable solutions to our customers. You will manage the team at site that is very fast paced and highly capable to troubleshoot, debug, fix the issues, and automate solutions. This role will suit an individual who excels in a challenging and dynamic environment, enjoys providing world-class support and is having a high level of customer centricity. What Will You Do in this Role Mentor and empower Site Engineers to deliver sound solutions for our customers within defined SLAs. The teams primary responsibilities include analysing and troubleshooting application and other open-source components related issues, debug and fix the issues, oversee the setup client / systems, and supervise change deployment. Build the team as the subject matter expert of applications, underlying architecture, and data relationships. Act as a Technical lead for critical incident and escalation calls by being a Single Point of Contact from the Bank’s end, Engineering and Product team. Partners with Product engineering teams, QA teams, IT teams and Project management teams and other internal stakeholders as required for successful resolution of issues reported to in production support. Identify opportunity and take the lead on automation projects that will improve processes and the usability of products for internal users. Create metrics and measure team performance. Assure the team follows / maintains proper attendance, reporting, issue tracking and support procedures. Understand the issues and communicate solutions effectively to technical and non-technical teams at Customers as well as internally to organisations team members and regularly update leadership teams on project status. What You’ll Need to be Successful in this Role BS/MS degree in Computer Science, Engineering, or established professionals with relevant experience. Minimum of 2+ years of experience in managing / leading a team with ability to mentor engineers from diverse backgrounds and skillsets. Minimum of 4+ years of experience in operations and application support background. • Experience in Lending domain with strong knowledge in LMS and LOS. Experience in managing Web and Mobile application support. Deep hands-on experience in SQL Queries and Log analysis. A great problem solver with ability to simplify complex issues. Great interpersonal and presentation skills with ability to meet deadlines. Experience in deployment activities. Experience in incident management life cycle. Flexible to work at odd hours / shifts and weekends to support incidents, releases, maintenance activities and large project sites

Expected Notice Period: 15 Days Shift: (GMT+05:30) Asia/Kolkata (IST) What do you need for this opportunity Must have skills required: AWS CloudFormation, CDK/CDKTF, EJS, Event driven architecture, Microservices Architecture, Pug, Terraform, Nodejs, React/Vue, Team management, SQL, RESTful API development, Javascript (es6+), Cloud-based Application Architecture, Ci/Cd Pipelines UK's Top Electronic Security Products Company is Looking for: The position of Lead Cloud Engineer would join the Cloud team in the RD department to accelerate our exciting product roadmap of Cloud-connected systems and digital services which form the core of our development projects. This roadmap includes migrating to a microservices architecture as well as adding new features and functionality. Responsibilities: Design and implement new features for the Cloud services, building on existing functionality to deliver greater value to our customers. Lead the implementation of architectural improvements to ensure performance, scalability, and maintainability. Develop RESTful APIs using NodeJS and related frameworks (e.g., Express). Investigate and resolve system defects and performance bottlenecks. Assist and mentor cloud team members, providing technical guidance and code reviews. Understand and translate business vision into actionable technical roadmaps, identifying opportunities for optimization, cost savings, and feature enhancements. Provide technical leadership and support to the broader development team. Work in a Scrum-based Agile environment, delivering high-quality outputs in regular sprint cycles. Support CI/CD deployments into development and production environments. Skills Experience you will bring to Team: Proven 8+ Years of hands-on experience in developing and maintaining scalable, cloud-based applications using NodeJS and modern backend frameworks. Strong experience with functional and object-oriented JavaScript, including ES6 features Strong proficiency with SQL, with the ability to write and optimize large, complex SQL queries Excellent analytical and debugging skills Experience in reviewing application requirements and interface designs, including wireframing. Ability to identify web-based user interactions and define smooth user experience flows Proven experience in developing and implementing responsive UI components using frameworks such as React or Vue. Working knowledge and experience with Scrum and Agile methodologies. A track record of mentoring junior developers and fostering a collaborative culture. Advantage to Have: Experience with Infrastructure as Code tools such as Terraform, AWS CloudFormation, or CDK/CDKTF. An understanding of fundamental design principles behind scalable applications, especially Event Driven Architecture and microservices. Hands-on experience in deploying and monitoring applications in AWS or other cloud infrastructure environments. A good understanding of server-side templating languages such as Pug, EJS, or similar.

Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Office (Mumbai) Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Ketto) What do you need for this opportunity? Must have skills required: SQL, Data Analysis, Python, PowerBI, Tableau, Maths, Statistics, Advanced Analytics, Product Management, Product Analyst, Wireframing Ketto is Looking for: Job Description: Product Analyst Growth & Product Management 3 years FullTime Mumbai Role Overview: Ketto, Asia's largest crowdfunding platform, is looking for an innovative Product Analyst to take charge of our data systems, reporting frameworks, and generative AI initiatives. This role is pivotal in ensuring data integrity and reliability, driving key insights that fuel strategic decisions, and implementing automation through AI. This position encompasses the full data and analytics lifecyclefrom requirements gathering to design planningalongside implementing advanced analytics and generative AI solutions to support Kettos mission. Key Responsibilities: Data Strategy & Automation: Lead data collection, processing, and quality assurance processes to ensure accuracy, completeness, and relevance. Explore opportunities to incorporate generative AI models to automate and optimize processes, enhancing efficiencies in analytics, reporting, and decision-making. Data Analysis & Insight Generation: Conduct in-depth analyses of user behaviour, campaign performance, and platform metrics to uncover insights that support crowdfunding success. Translate complex data into clear, actionable insights that drive strategic decisions, providing stakeholders with the necessary information to enhance business outcomes. Reporting & Quality Assurance: Design and maintain a robust reporting framework to deliver timely insights, enhancing data reliability and ensuring stakeholders are well-informed. Monitor and improve data accuracy, consistency, and integrity across all data processes, identifying and addressing areas for enhancement. Collaboration & Strategic Planning: Work closely with Business, Product, and IT teams to align data initiatives with Kettos objectives and growth strategy. Propose data-driven strategies that leverage AI and automation to tackle business challenges and scale impact across the platform. Mentor junior data scientists and analysts, fostering a culture of data-driven decision-making. Required Skills and Qualifications: Technical Expertise: Strong background in SQL, Statistics and Maths. Analytical & Strategic Mindset: Proven ability to derive meaningful, actionable insights from large data sets and translate findings into business strategies. Experience with statistical analysis, advanced analytics. Communication & Collaboration: Exceptional written and verbal communication skills, capable of explaining complex data insights to non-technical stakeholders. Strong interpersonal skills to work effectively with cross-functional teams, aligning data initiatives with organisational goals. Preferred Experience: Proven experience in advanced analytics roles. Experience leading data lifecycle management, model deployment, and quality assurance initiatives.

Job Title: GCP Developer (Google BigQuery) Senior Developer Location: Offshore (Remote) Experience: 5+ Years Type: Full-Time Job Summary: We are looking for experienced Senior GCP Developers with strong expertise in Google BigQuery , ETL development , and SQL , to work on complex application design and development activities. Candidates must be capable of independently resolving technical issues, managing tickets, and mentoring junior team members. Experience with Linux , SSIS , and Power BI is an added advantage based on role requirements. Key Responsibilities: Design and develop complex architecture components and BigQuery-based solutions Lead a small team of developers in programming, configuring, and testing activities Troubleshoot and resolve medium to complex issues and performance bottlenecks Monitor and resolve assigned support tickets and service requests Conduct code reviews and mentor junior developers Ensure timely delivery and quality of deliverables Collaborate with cross-functional teams for end-to-end development Required Skills & Experience: Strong hands-on experience in Google BigQuery development Proficiency in ETL processes , SQL , and data modeling Experience working in Linux environments (preferred) SSIS package development and troubleshooting or Power BI dashboard/report development Good communication and problem-solving skills Experience managing development tasks independently in an offshore model

Shift: (GMT+05:30) Asia/Kolkata (IST) What do you need for this opportunity? Must have skills required: Machine Learning, ML, ml architectures and lifecycle, Airflow, Kubeflow, MLFlow, Spark, Kubernetes, Docker, Python, SQL, machine learning platforms, BigQuery, GCS, Dataproc, AI Platform, Search Ranking, Deep Learning, Deep Learning Frameworks, PyTorch, TensorFlow About the job Candidates for this position are preferred to be based in Bangalore, India and will be expected to comply with their team's hybrid work schedule requirements. Who We Are Wayfairs Advertising business is rapidly expanding, adding hundreds of millions of dollars in profits to Wayfair. We are building Sponsored Products, Display & Video Ad offerings that cater to a variety of Advertiser goals while showing highly relevant and engaging Ads to millions of customers. We are evolving our Ads Platform to empower advertisers across all sophistication levels to grow their business on Wayfair at a strong, positive ROI and are leveraging state of the art Machine Learning techniques. What youll do Provide technical leadership in the development of an automated and intelligent advertising system by advancing the state-of-the-art in machine learning techniques to support recommendations for Ads campaigns and other optimizations. Design, build, deploy and refine extensible, reusable, large-scale, and real-world platforms that optimize our ads experience. Work cross-functionally with commercial stakeholders to understand business problems or opportunities and develop appropriately scoped machine learning solutions Collaborate closely with various engineering, infrastructure, and machine learning platform teams to ensure adoption of best-practices in how we build and deploy scalable machine learning services Identify new opportunities and insights from the data (where can the models be improved? What is the projected ROI of a proposed modification?) Research new developments in advertising, sort and recommendations research and open-source packages, and incorporate them into our internal packages and systems. Be obsessed with the customer and maintain a customer-centric lens in how we frame, approach, and ultimately solve every problem we work on. We Are a Match Because You Have: Bachelor's or Masters degree in Computer Science, Mathematics, Statistics, or related field. 6-9 years of industry experience in advanced machine learning and statistical modeling, including hands-on designing and building production models at scale. Strong theoretical understanding of statistical models such as regression, clustering and machine learning algorithms such as decision trees, neural networks, etc. Familiarity with machine learning model development frameworks, machine learning orchestration and pipelines with experience in either Airflow, Kubeflow or MLFlow as well as Spark, Kubernetes, Docker, Python, and SQL. Proficiency in Python or one other high-level programming language Solid hands-on expertise deploying machine learning solutions into production Strong written and verbal communication skills, ability to synthesize conclusions for non-experts, and overall bias towards simplicity Nice to have Familiarity with Machine Learning platforms offered by Google Cloud and how to implement them on a large scale (e.g. BigQuery, GCS, Dataproc, AI Notebooks). Experience in computational advertising, bidding algorithms, or search ranking Experience with deep learning frameworks like PyTorch, Tensorflow, etc.

Shift: (GMT+05:30) Asia/Kolkata (IST) What do you need for this opportunity? Must have skills required: SQL, Python, Tableau, PowerBI, Data Analysis, Google Analytics, Airflow, People management About the Role We are looking for a highly motivated Senior Manager - Analytics to lead our data and analytics initiatives. This role is ideal for a hands-on leader who is passionate about driving automation, delivering business impact through data, and building scalable data pipelines and analytics solutions. You will manage a team of analysts and leads, collaborate closely with cross-functional teams, and own the charter for analytics automation and strategy. Key Responsibilities Automation & Best Practices: Lead the analytics automation roadmap. Implement and champion best practices across the data lifecycle. Data Engineering & Orchestration: Drive scalable ETL pipelines using tools such as Airflow and dbt, ensuring clean and reliable data flows. Hands-on Development: Write and review Python and SQL code to support automation, advanced analytics, and strategic initiatives. Dashboarding & Reporting: Oversee the implementation of centralized dashboards using Power BI, Tableau, or similar tools to provide actionable insights across the organization. Cross-Functional Collaboration: Partner with GTM, Marketing, Product, and Operations teams to identify analytics needs and deliver impactful solutions. Team Leadership: Manage and mentor a team of 78 members, including Business Analysts and Analytics Leads. Foster a high-performance, collaborative culture. Innovation & AI Tools (Preferred): Experience in developing or integrating AI tools or agents end-to-end is a strong plus. Required Skills & Qualifications 10+ years of experience in Analytics, Data Engineering, or related fields, with 4+ years in a manager / leadership role Strong programming skills in Python and advanced proficiency in SQL Hands-on experience with Airflow and/or dbt for orchestration and data transformation Deep understanding of BI tools (e.g., Power BI, Tableau) and dashboard best practices Proven experience in driving cross-functional projects and influencing stakeholders Excellent problem-solving and analytical skills Ability to thrive in a fast-paced environment with open-ended problems and evolving priorities Comfortable in both strategic planning and hands-on execution roles Experience managing a team with diverse analytics skill sets Prior experience building AI-powered tools/agents is a plus

Job Title: Senior Data Scientist Intelligent Offer Management Location: Bangalore (3 days work from office) Type: Full-time(On-Site) Experience Level: 3–6 years About the Role: We are hiring a Data Scientist to lead and scale our Intelligent Offer Management engine – a key pillar of our revenue optimisation strategy. This role sits at the intersection of data science, pricing strategy, product thinking, and experimentation, enabling personalised, dynamic, and contextual offer decisions at scale. You'll work closely with product managers, business teams, and engineers to build models that recommend the right offer to the right customer at the right time. Key Responsibilities -Design and implement real-time offer recommendation models using historical purchase, engagement, and behavioural data. - Develop algorithms for dynamic pricing, offer personalisation, segmentation, and discount optimisation. - Collaborate with cross-functional stakeholders to translate business requirements into data science solutions. - Conduct A/B and multivariate experiments to evaluate offer performance and optimise offer strategies. - Build predictive models for conversion propensity, elasticity curves, and uplift measurement. - Package models for production deployment, ensuring scalability, performance, and monitoring. - Influence product design and customer journeys with data-driven insights. Must-Have Qualifications: - 3-6 years of experience in data science, quantitative analytics, or pricing strategy roles. - Proficiency in Python and SQL, with experience in building, validating, and deploying ML models. - Deep understanding of offer science, pricing elasticity, behavioural economics, and incentive systems. - Strong business acumen with the ability to balance accuracy with impact and speed. - Experience working with experimentation frameworks and statistical inference. - Ability to communicate complex insights effectively to both technical and non-technical stakeholders.

SQL Engineer Expertise in SQL, including stored procedures Experience with Amazon Redshift Strong understanding of data warehousing concepts Minimum 6 years of experience

R Primary Skills :Stored procedures, Relational Data Modeling, sql, Enterprise Data Modeling, Data Modeling Secondary Skills :Snowflake Modeling, snowflake warehouse, Snowflake Degree :Bachelor of Computer Science, BCA, BE, BE Computer Engineering, BE-IT, BTECH, M.Tech, MCA Branch :Computer Science and Engineering, Computer Engineering View rights : Job Description: Must Have Skills: 4-8 years of overall experience 4 years' experience in designing, implementing, and documenting data architecture and data modeling solutions, which include the use of Azure SQL and Snowflake databases and SQL procedures. Knowledge of relational databases and data architecture computer systems, including SQL Be responsible for the development of conceptual, logical, and physical data models, the implementation of operational data store (ODS), data marts, and data lakes on target platforms (Azure SQL and Snowflake databases). Knowledge of ER modeling, big data, enterprise data, and physical data models Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively. Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models. Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization. Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC. Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks. Must have a strong knowledge of Data Quality and Data Governance. Must have knowledge of ETL. Professional Skills: Solid written, verbal, and presentation communication skills. Strong team and individual player. Maintains composure during all types of situations and is collaborative by nature. High standards of professionalism, consistently producing high-quality results. Self-sufficient, independent requiring little supervision or intervention. Demonstrate flexibility and openness to bring creative solutions to address issues. ole & responsibilities: Outline the day-to-day responsibilities for this role. Preferred candidate profile: Specify required role expertise, previous job experience, or relevant certifications.

Title: Senior Java Developer Location: Bangalore, India (Hybrid Mode) Experience Required: 8-14 years Job Description: We are seeking a highly skilled and experienced Senior Java Developer to join our dynamic team in Bangalore. The ideal candidate will have extensive experience with Java development, Spring Boot, and microservices architecture. You will be responsible for designing, developing, and maintaining high-performance, scalable, and secure software solutions. Required Skills and Qualifications: Technical Expertise: Strong proficiency in Java and Spring Boot. Deep understanding of microservices architecture and design patterns. Experience with RESTful API design and development. Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes). Education: Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

Role & responsibilities 5 - 8 years of exp on primarily skill required are Java Springboot, API development , microservices. Programming experience in Java Spring Boot, API-Driven Development - Solid experience in RESTful and Microservices development Strong understanding in Data Structures and Algorithms Preferred experience in any UI Technologies like Angular or React Experience working in ORM frameworks like Entity, Hibernate, Dapper Strong relational database experience in either Oracle, MS SQL, or Postgres Good experience in queuing or streaming engines like Kafka Unit Testing / TDD - Experience with Continuous Integration Delivery Automated Testing and tools such as NUnit, Junit Experience with Docker, GIT, SonarQube, Checkmarx, OpenShift, and other deployment tools for CI/CD Experience in using tools like Jira, GitLab, Swagger, Postman, SOAP UI, Service Now Basic Understanding of JavaScript, HTML, CSS Good to have in AWS or Azure cloud

Mandatory Skills: Automation testing using Java & Selenium SQL API testing or UI testing using Rest Assured BDD & Cucumber Preferred candidate profile 8+ years of Proven experience as automation tester Strong grasp of testing concepts and strategies, including the defect life cycle. Proficiency in SQL for data management and issue debugging. Basic knowledge of Linux for issue troubleshooting and debugging. Expertise in Java programming language for automation testing. Ability to write, execute, and debug automation scripts in Java. Knowledge of API testing / UI testing and familiarity with tools like Postman is a plus. Excellent analytical and problem-solving skills, with a keen attention to detail. Ability to thrive in a fast-paced, Agile environment. Strong communication and collaboration skills, with the ability to work closely with cross-functional teams.

We are looking for a passionate and detail-oriented Business Analyst Analytics to join our dynamic product team. In this role, you will leverage data to influence key product decisions and enhance user experiences. You will collaborate with cross-functional teams including product managers, designers, and engineers to drive optimization and growth through data insights. Key Responsibilities: Analyze user behavior, conversion funnels, and site performance to identify optimization opportunities. Conduct A/B tests and experiments to validate product and UX decisions. Track and report key product KPIs and provide actionable insights. Utilize Google Analytics and Google Tag Manager to monitor and interpret user behavior. Develop dashboards and visual reports using SQL, Python/R, Tableau, Power BI, or Looker. Collaborate closely with product and engineering teams to enhance product features and user experience. Communicate data findings effectively to both technical and non-technical stakeholders. Work with data teams to ensure data integrity and reliability. Desired Qualifications: Bachelor’s degree in a related field; Master’s degree is a plus. 2–4 years of hands-on experience as a Business Analyst or Data Analyst. Proficiency in SQL and Excel. Experience with Google Analytics, GTM, and other tracking/analytics tools. Familiarity with A/B testing and statistical methods. Strong verbal and written communication skills. Working knowledge of data infrastructure and database systems is a plus. Experience in SaaS or E-commerce domain will be an added advantage. Perks of Joining Silvermine: Innovative Work: Build impactful products for the US E-commerce and SaaS market. Career Growth: Opportunity to learn and grow in a dynamic, fast-paced environment. Collaborative Culture: Work in a team-oriented, mentorship-driven environment. Hybrid Work Model: Flexible work-life balance with part-remote options. Comprehensive Benefits: Health insurance, retirement benefits, and more. Recognition & Rewards: Annual bonuses and spot awards for outstanding performance.

As the Analytics Manager, you will oversee the end-to-end delivery of insights across Silvermine's product suite including eForm2290, eMCS150, and Truckopedia. You'll lead a multidisciplinary team, define the analytics roadmap, and establish robust data practices that inform strategic and tactical decisions. KEY RESPONSIBILITIES: - Lead and mentor a cross-functional analytics team supporting product, business, marketing, and CX. - Collaborate with functional leads to align analytics projects with business OKRs. - Own and evolve the KPI frameworks for products and business performance. - Ensure high quality and consistency of dashboards and reports. - Coach and manage a team of analysts, fostering growth and delivery excellence. - Drive adoption of analytics tools and self-serve capabilities within departments. - Translate business problems into data-driven solutions. - Drive analytics roadmap, improve data governance, and coordinate with Data Engineering. - Represent analytics in leadership meetings and decision-making forums. PREFERRED QUALIFICATIONS & REQUIRED SKILLS: - 8+ years of analytics experience with at least 2 years in a managerial/lead role. - Proficiency in SQL, Python, Power BI/Tableau/Metabase, GA4/Any other web analytics tools. - Experience with web analytics and A/B testing frameworks. - Understanding of marketing attribution and user segmentation. - Exposure to data governance and quality checks. - Familiarity with compliance, SaaS, or transactional web products is a strong plus. - Strong communication skills, business acumen, and stakeholder management. PERKS OF JOINING: The Culture: most companies talk about their values, we live them. - Supportive Culture: We value teamwork, mentorship, and professional development, and we show it by providing top-notch employee experience and training programs, and incentivizing team growth. - Work-Life Balance: We support a hybrid work model and encourage our employees to create a healthy balance between personal and professional life. - Rewards and Recognitions: Competitive compensation, annual and spot bonuses, and a focus on recognizing hard work with well-earned rewards are part of our DNA. Innovative Work: Contribute to cutting-edge solutions for e-commerce and SaaS businesses

Data Architect Kadel Labs is a leading IT services company delivering top-quality technology solutions since 2017, focused on enhancing business operations and productivity through tailored, scalable, and future-ready solutions. With deep domain expertise and a commitment to innovation, we help businesses stay ahead of technological trends. As a CMMI Level 3 and ISO 27001:2022 certified company, we ensure best-in-class process maturity and information security, enabling organizations to achieve their digital transformation goals with confidence and efficiency. Role: Data Architect Experience: 6-10 Yrs Location: Udaipur , Jaipur, Bangalore Domain: Telecom Job Description: We are seeking an experienced Telecom Data Architect to join our team. In this role, you will be responsible for designing comprehensive data architecture and technical solutions specifically for telecommunications industry challenges, leveraging TM forum frameworks and modern data platforms. You will work closely with customers, and technology partners to deliver data solutions that address complex telecommunications business requirements including customer experience management, network optimization, revenue assurance, and digital transformation initiatives. Key Responsibilities: Design and articulate enterprise-scale telecom data architectures incorporating TMforum standards and frameworks, including SID (Shared Information/Data Model), TAM (Telecom Application Map), and eTOM (enhanced Telecom Operations Map) Develop comprehensive data models aligned with TMforum guidelines for telecommunications domains such as Customer, Product, Service, Resource, and Partner management Create data architectures that support telecom-specific use cases including customer journey analytics, network performance optimization, fraud detection, and revenue assurance Design solutions leveraging Microsoft Azure and Databricks for telecom data processing and analytics Conduct technical discovery sessions with telecom clients to understand their OSS/BSS architecture, network analytics needs, customer experience requirements, and digital transformation objectives Design and deliver proof of concepts (POCs) and technical demonstrations showcasing modern data platforms solving real-world telecommunications challenges Create comprehensive architectural diagrams and implementation roadmaps for telecom data ecosystems spanning cloud, on-premises, and hybrid environments Evaluate and recommend appropriate big data technologies, cloud platforms, and processing frameworks based on telecom-specific requirements and regulatory compliance needs. Design data governance frameworks compliant with telecom industry standards and regulatory requirements (GDPR, data localization, etc.) Stay current with the latest advancements in data technologies including cloud services, data processing frameworks, and AI/ML capabilities Contribute to the development of best practices, reference architectures, and reusable solution components for accelerating proposal development Required Skills: 6-10 years of experience in data architecture, data engineering, or solution architecture roles with at least 5 years in telecommunications industry Deep knowledge of TMforum frameworks including SID (Shared Information/Data Model), eTOM, TAM, and their practical implementation in telecom data architectures Demonstrated ability to estimate project efforts, resource requirements, and implementation timelines for complex telecom data initiatives Hands-on experience building data models and platforms aligned with TMforum standards and telecommunications business processes Strong understanding of telecom OSS/BSS systems, network management, customer experience management, and revenue management domains Hands-on experience with data platforms including Databricks, and Microsoft Azure in telecommunications contexts Experience with modern data processing frameworks such as Apache Kafka, Spark and Airflow for real-time telecom data streaming Proficiency in Azure cloud platform and its respective data services with an understanding of telecom-specific deployment requirements Knowledge of system monitoring and observability tools for telecommunications data infrastructure Experience implementing automated testing frameworks for telecom data platforms and pipelines Familiarity with telecom data integration patterns, ETL/ELT processes, and data governance practices specific to telecommunications Experience designing and implementing data lakes, data warehouses, and machine learning pipelines for telecom use cases Proficiency in programming languages commonly used in data processing (Python, Scala, SQL) with telecom domain applications Understanding of telecommunications regulatory requirements and data privacy compliance (GDPR, local data protection laws) Excellent communication and presentation skills with ability to explain complex technical concepts to telecom stakeholders Strong problem-solving skills and ability to think creatively to address telecommunications industry challenges Good to have TMforum certifications or telecommunications industry certifications Relevant data platform certifications such as Databricks, Azure Data Engineer are a plus Willingness to travel as required Educational Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Visit us: https://kadellabs.com/ https://in.linkedin.com/company/kadel-labs https://www.glassdoor.co.in/Overview/Working-at-Kadel-Labs-EI_IE4991279.11,21.htm

Job Title: Data Analyst Location: Gurguram Experience: 3-4 years Employment Type: Full-Time About the Role: We are looking for a skilled and detail-oriented Data Analyst to join our team. The ideal candidate will be responsible for collecting, analyzing, and interpreting large datasets to support data-driven decision-making across the organization. Proficiency in MongoDB and SQL is essential for this role. Key Responsibilities: Collect, process, and clean structured and unstructured data from various sources. Analyze data using SQL queries and MongoDB aggregations to extract insights. Develop and maintain dashboards, reports, and visualizations to present data in a meaningful way. Collaborate with cross-functional teams to identify business needs and provide data-driven solutions. Monitor data quality and integrity, ensuring accuracy and consistency. Support the development of predictive models and data pipelines. Required Skills & Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. Proven experience as a Data Analyst or similar role. Strong proficiency in SQL for data querying and manipulation. Hands-on experience with MongoDB , including working with collections, documents, and aggregations. Knowledge of data visualization tools such as Tableau, Power BI, or similar (optional but preferred). Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Good to Have: Experience with Python/R for data analysis. Exposure to ETL tools and data warehousing concepts. Understanding of statistical methods and A/B testing.

Job Summary: We are seeking a highly skilled and motivated SDET (Software Development Engineer in Test) . The successful candidate will play a key role in supporting our Non_PROD Falcon system , collaborating with Risk Development and QA teams to troubleshoot and resolve processing issues, and ensuring the reliability and performance of our core authorization platform. Key Responsibilities: Collaborate with the Risk Development and QA teams to analyze, identify, and resolve issues in Falcon processing in non-production environments. Design, develop, and maintain automated test scripts to validate Falcon integration and authorization flows. Perform root cause analysis and provide timely solutions for system issues or failures. Execute and monitor jobs and processes using Unix/Linux shell scripting . Write and optimize SQL queries for data validation and analysis using Oracle . Maintain system logs, test documentation, and incident records to improve future troubleshooting and support activities. Support deployment activities, smoke testing, and system health checks in non-production environments. Provide input to improve CI/CD automation and test coverage. Required Skills & Experience: Strong knowledge of Unix/Linux , including shell scripting for automation and troubleshooting. Proficient in Oracle and SQL for querying and analyzing large datasets. Hands-on experience with Falcon Fraud Management System is highly desirable. Good understanding of authorization systems and card payment processing . Experience working with QA and development teams in non-production support environments . Strong problem-solving skills and ability to debug complex system issues. Familiarity with test automation frameworks is a plus (e.g., Selenium, JUnit, TestNG). Excellent communication and collaboration skills.

We are seeking a skilled ETL Data Tester to join our dynamic team on a 6-month contract. The ideal candidate will focus on implementing ETL processes, creating comprehensive test suites using Python, and validating data quality through advanced SQL queries. The role involves collaborating with Data Scientists, Engineers, and Software teams to develop and monitor data tools, frameworks, and infrastructure changes. Proficiency in Hive QL, Spark QL, and Big Data concepts is essential. The candidate should also have experience in data testing tools like DBT, iCEDQ, and QuerySurge, along with expertise in Linux/Unix and messaging systems such as Kafka or RabbitMQ. Strong analytical and debugging skills are required, with a focus on continuous automation and integration of data from multiple sources. Location- Remote,Delhi NCR,Bengaluru, Chennai,Pune, Kolkata, Ahmedabad, Mumbai, Hyderabad