Top SQL Jobs in Pune

Design, develop, enhance, and maintain full-stack web applications using Java/Spring Boot and Angular. Collaborate with cross-functional teams, document requirements, apply test-driven development, and resolve technical issues for applications backed by SQL and NoSQL databases.

Drive end-to-end product analytics for user growth and product strategy: define metrics, design and analyze A/B tests, handle PB-scale behavioral and transactional data, build dashboards, predictive models, and deliver actionable insights to product and business stakeholders.

Owner of company-wide reporting and analytics for Growth, Marketing, Product, Finance and Operations. Build and maintain dashboards, automated reports and data pipelines (dbt), ensure data quality and governance, run growth and product analyses (CAC, ROAS, LTV, retention), support A/B testing and ad-hoc decision support, leverage AI for automation, and coordinate VAs on data tasks.

Provide world-class application support for Vena users by troubleshooting product issues, answering product questions, offering technical guidance, and escalating to internal teams. Support customers via email, chat, phone, and web sessions, create knowledge base articles, monitor trends, and meet SLAs to maintain high satisfaction.

Build and maintain Workday Advanced/Matrix/Composite reports and dashboards, handle complex Tier 2/3 data requests, standardize and audit report definitions and naming conventions, improve data quality and Workday configuration, translate business requirements into reporting solutions, support project lifecycle (requirements, development, testing, documentation), flag data issues, and use AI tools and scripting to assist analysis. Role requires split-shift overlap with US East Coast hours.

Design, build and maintain data pipelines, warehouses and lakes. Implement ETL processes, data models and processing algorithms. Ensure data accuracy, security and accessibility. Collaborate with data scientists, lead teams or projects, advise stakeholders, and drive risk controls and governance.

Configure and maintain data quality platforms and controls across MDM domains. Perform data profiling, reconciliation, ETL integrations, and remediation. Build Power BI dashboards, implement validation rules and workflows, manage incidents (ServiceNow), and collaborate with global stakeholders to improve data quality and governance maturity.

Develop, maintain, and support the enterprise MDM platform across multiple domains. Implement MDM features, data integration/ETL, and complex SQL; write tests; troubleshoot incidents; support migrations; follow SDLC/CI-CD, security and SOX compliance; collaborate with business, vendors, and cross-functional teams.

Develop, maintain, and support enterprise MDM platform across customer, supplier, contact, and item domains. Implement MDM capabilities, data integration/ETL, complex SQL, testing, incident resolution, data migration, and ensure security/SOX compliance while collaborating with business users, vendors, and cross-functional teams.

Develop, maintain, and support the enterprise MDM platform across multiple domains. Build and optimize MDM code and SQL, implement data integration/ETL, execute testing, resolve incidents within SLAs, support migrations and onboarding, document solutions, and collaborate with business users, vendors, and cross-functional teams to ensure platform stability and compliance.

Develop, maintain, and support the enterprise MDM platform across customer, supplier, contact, and item domains. Implement new MDM features, build data integration/ETL solutions, write and optimize SQL, ensure code quality through testing and reviews, resolve production incidents within SLAs, support data migration/onboarding, and maintain documentation and compliance (SOX, security). Collaborate with business users, vendors, and cross‑functional teams in an Agile environment.

Develop, maintain, and support the enterprise MDM platform across customer, supplier, contact, and item domains. Build and optimize MDM code and complex SQL queries, implement data integration/ETL, perform testing (unit, SIT, regression), resolve incidents within SLAs, support data migration and onboarding, document solutions, and ensure security and SOX compliance while working with business users, vendors, and cross-functional teams.

Lead and mentor an India-based development team to design, build, and operate scalable, low-latency Securities Finance trading systems. Own end-to-end delivery, architecture of distributed microservices, DevOps/CI-CD practices, stakeholder collaboration across global offices, production support, and engineering best practices.

Develop, maintain, and support an enterprise MDM platform across customer, supplier, contact, and item domains. Implement MDM features, data integration and ETL, optimize SQL, write tests, perform SIT/UAT, troubleshoot incidents, support migrations and data reconciliation, document changes, and ensure security, SOX compliance, and adherence to SDLC and change management processes.

Design, build and maintain data pipelines, warehouses and lakes; implement processing and analysis algorithms; ensure data accuracy, security and accessibility; collaborate with data scientists to deploy ML models; lead or support a team and embed risk, controls and governance practices.

Develop, maintain, and support the enterprise MDM platform across customer, supplier, contact, and item domains. Implement MDM features, data integrations, and complex SQL processing. Write and test code, perform SIT/UAT, triage incidents, resolve defects, support migrations, ensure data integrity, adhere to SDLC/CI-CD and change management, and maintain documentation while collaborating with business users, vendors, and cross-functional teams.

Develop, maintain, and support the enterprise MDM platform across customer, supplier, contact, and item domains. Implement MDM features, data integration/ETL, and complex SQL queries; write tests and participate in SIT/UAT. Triage incidents, perform root cause analysis, support migrations and onboarding, follow SDLC/CI-CD and change management, ensure security and SOX compliance, and collaborate with business, vendors, and offshore teams.

Develop, maintain, and support enterprise MDM platform across multiple domains. Implement features, data integrations, and complex SQL processing; write tests; troubleshoot incidents; support migrations; follow SDLC/CI-CD and compliance processes; collaborate with business, vendors, and cross-functional teams.

Develop, maintain, and support enterprise MDM platform across customer, supplier, contact, and item domains. Implement features, data integration/ETL, and complex SQL queries; write/tests code, resolve incidents within SLAs, support migrations and onboarding, ensure data quality/integrity, follow SDLC/CI-CD and compliance (SOX), and collaborate with business, vendors, and cross-functional teams.

Develop, maintain, and support the enterprise MDM platform across customer, supplier, contact, and item domains. Implement new MDM features, build data integration/ETL solutions, write and optimize complex SQL, produce high-quality code and tests, triage incidents to meet SLAs, support data migrations and profiling, and follow SDLC/Agile processes, security, and SOX compliance while documenting changes.

Own and drive the Clearing & Settlement product within an issuer processing platform: define roadmap, translate scheme requirements (Visa, Mastercard) into product features, manage clearing, settlement, reconciliation, reporting, exception handling and controls, write requirements and user stories, and coordinate delivery across Engineering, Operations, Finance, Compliance and Client Delivery.

Design and own end-to-end data platform architecture, build ingestion and transformation pipelines, model multi-tenant datasets, optimize Postgres and ClickHouse performance/cost, implement orchestration and observability, define data quality and reconciliation standards, and mentor data/product engineers.

Lead design, build, and operation of AI-powered product features across backend, frontend, and AI systems. Make architecture decisions, drive production deployments, improve code quality and reliability, mentor engineers, and own features end-to-end.

Build and productionize AI features across frontend and backend: document review, entity extraction, quote comparison, embeddings and LLM integrations, prototype from customer feedback, and create scalable reusable systems for insurance workflows.

Build and operate ingestion and transformation pipelines to turn messy insurance data into clean datasets. Design bronze/silver/fact layers, model and tune Postgres and analytical stores, define KPIs and reconciliation checks, orchestrate observable data jobs, and ensure end-to-end data quality for analytics and AI products.