Top SQL Jobs in Pune

Design, develop, and execute manual and automated test cases for enterprise applications. Perform functional, regression, integration, API (REST/SOAP) and database (SQL) testing. Maintain test scripts, track defects in Azure DevOps/Jira, produce test reports/dashboards, and support CI/CD pipelines. Contribute to QA process improvements and support non-functional and data migration testing when required.

Design, build, and maintain dbt models and Snowflake data warehouses, own CI/CD and orchestration for pipelines, implement data quality tests, partner with stakeholders to translate requirements into production-ready data models, and optimize performance and observability.

Provide tier-2 technical support for Revinate's SaaS products: own customer issues end-to-end, troubleshoot web/email/PMS problems, document incidents, liaise with Engineering and Product, escalate and report bugs, and collaborate with global Customer Success to improve processes and reduce ticket volume.

Provide technical support and troubleshooting for Zimperium's mobile threat defense product, owning customer issues through resolution, validating fixes with QA, creating JIRAs for engineering, and collaborating with product, devops, and customer success teams to maintain high customer satisfaction.

Own end-to-end quality for assigned product areas by defining risk-based test plans, designing and maintaining Playwright automation, executing manual and API/database testing, diagnosing complex failures, performing root-cause analysis, improving regression effectiveness, mentoring junior QA engineers, and partnering with Product and Engineering to deliver release-readiness recommendations.

Design, build, test, and maintain backend applications, APIs, and ETL/ELT data pipelines. Perform data transformation, validation, statistical analysis, and optimize code, queries, and pipelines. Troubleshoot production issues, collaborate with cross-functional teams, participate in code reviews, and document architectures and data workflows.

Design and implement scalable backend services and APIs using C#/.NET. Build microservices, integrate databases and messaging systems, containerize with Docker, participate in CI/CD and release automation, ensure testable, maintainable code, and collaborate on high-scale distributed systems.

Design, build, and maintain scalable AWS data pipelines and CI/CD for data workflows. Extract and integrate data from SAP HANA, BW, and ABAP. Implement automated deployments, monitor pipelines, resolve incidents, perform root cause analysis, and enforce data governance, security, and performance optimization.

Lead Revenue Operations analytics: partner with VP Revenue to implement forecasting, pipeline management, KPIs, and CRM best practices; build and mentor a RevOps analytics team; improve sales processes, reporting and commissions; support marketing with attribution, lead scoring, and campaign optimization to drive revenue growth.

Lead an 8-10 engineer team owning courier systems (dispatch, matching, pricing, ETA). Set technical direction, drive data-driven decisions and experiments, partner with data science, ensure reliability and scalability of low-latency distributed systems, and own hiring, performance, and operational excellence.

Design, build, and maintain scalable ETL pipelines and Python data workflows. Perform statistical analysis, optimize queries and pipelines, clean and validate large datasets, troubleshoot failures, document solutions, and collaborate with cross-functional teams to deliver reliable data solutions and insights.

Design, implement, and support Customer Data Platform (CDP) solutions and integrations. Build Snowflake-based data models and ETL/transformations, implement AWS cloud-native components (Kubernetes, Lambda), develop Java/Python integrations and APIs, enable audience activation across channels, ensure data governance, performance, and collaborate with marketing and tech stakeholders.

Design, develop, test, and maintain scalable full-stack web applications. Build backend services and RESTful APIs in Java and Python, create responsive frontends with JavaScript, optimize application performance, debug production issues, perform code reviews, and collaborate with product, QA, and engineering teams to ensure security, scalability, and reliability.

Lead data-driven analyses for transaction services, reconciling datasets to core financials. Use analytics tools and programming to build EBITDA, working capital, and cash flow analyses, present findings to clients, mentor junior staff, and enhance analytics capabilities across deal lifecycles.

Provide front-line technical support by diagnosing customer issues, reproducing bugs, reading MERN codebase, analyzing logs and AWS metrics, collaborating with engineering to fix and verify issues, and proactively monitoring system health.

Lead and grow a data engineering team to design, build, and operate scalable batch and streaming data platforms and pipelines. Own delivery, architecture oversight, technical standards, stakeholder communication, and alignment of data strategy with business priorities while promoting engineering excellence and continuous improvement.

Analyze large structured and unstructured datasets, build and evaluate machine learning and statistical models, perform EDA and hypothesis testing, create visualizations and dashboards, collaborate with product and business teams, and document and improve analytical solutions to drive business decisions.

Design, execute, and maintain test plans for an AI-powered platform. Perform functional, integration, regression, end-to-end, API, browser/device compatibility, and performance testing. Validate AI features, prompts, and generated responses; track and verify bug fixes; collaborate with developers and product teams; prepare launch-readiness reports and recommend stability and UX improvements.

Lead web analytics and conversion optimization by implementing and validating GA4/GTM tracking, monitoring KPIs and funnels, running A/B tests, building dashboards, and delivering data-driven recommendations to Marketing, Product, and Development teams to improve UX and conversion rates.

Lead post-deployment operations and optimization of Agentic AI, LLM integrations, and Python-based analytical pipelines. Supervise a data science operations team, ensure secure high-availability production systems, manage integrations with enterprise systems (SAP, Salesforce, Postgres), and drive continuous improvement, monitoring, and adoption of analytics solutions.

As a Data Engineer, you will build scalable ETL/ELT pipelines, optimize data structures, and develop impactful Power BI solutions for stakeholders.

The Data Architect will design and manage secure data platforms using Snowflake in healthcare, focusing on compliance, data models, and analytics.

As a Full Stack Developer, you will design and develop web applications using both front and back-end technologies, collaborating with teams to deliver high-quality solutions.

The Data Engineer will design and maintain data models, develop BI solutions, integrate data, and optimize data flows while collaborating with stakeholders.

Work on legacy modernization projects migrating applications to modern platforms using Java or C#. Develop and improve Java/C# libraries, create and run tests, debug and fix issues, coordinate solutions with the team, implement process improvements, and mentor junior colleagues to deliver quality client outcomes on schedule.