Top SQL Jobs in Pune

Deliver end-to-end data engineering and technology solutions for clients: translate business requirements to technical designs, lead teams to build ETL/data pipelines on Databricks and Snowflake, optimize queries and pipelines, manage project delivery and client communications, mentor junior staff, and ensure security, monitoring, and operational readiness.

Join Identity feature teams to write and deliver high-quality Java/J2EE code, debug complex customer L3 escalations, build UI components and REST services, collaborate with engineering and support, and improve test coverage and product reliability.

Design, build, and maintain scalable Java backend applications and large-volume batch processing solutions using Spring Boot and Spring Batch. Develop RESTful APIs and microservices, optimize performance and databases, implement ETL/file integration and scheduling, troubleshoot production issues, participate in design and code reviews, and ensure code quality with unit/integration testing.

Design, develop, and maintain automated test scripts and frameworks using Java and Selenium. Create and execute test plans, analyze results, identify defects, and collaborate with developers. Perform functional, regression, integration, and end-to-end testing, support CI/CD automated test execution, and participate in requirement reviews to ensure test coverage and quality in an Agile environment.

Own sales data quality across SFDC Sales Cloud and Snowflake. Create reports and analyses, manage D&B and ZoomInfo integrations, enrich lead/contact/account data, and partner with Sales, Marketing, and Finance to resolve discrepancies and define technical data requirements.

Lead development of scalable microservices and developer tooling using Java/Go (or Python). Design, implement, test, and operate secure, high-performance services, CI/CD pipelines, containerized deployments, and monitoring. Mentor engineers, collaborate cross-functionally, and champion engineering standards, secure SDLC, and developer experience initiatives.

The Senior Technical Program Manager is responsible for planning, executing, and delivering engineering projects, managing risks, and coordinating across teams while aligning business goals and customer needs.

Design, develop, test, and maintain Java-based microservices and enterprise applications. Build automated tests and CI/CD pipelines, troubleshoot production issues, support deployments, mentor engineers, and drive quality and process improvements.

Manage and mentor a cross-functional engineering team to design, build, and deploy analytics and AI-driven full-stack solutions. Lead technical direction, architect scalable data pipelines and APIs, collaborate with product and design, and champion cloud-native, testable, production-grade applications while promoting continuous improvement and responsible AI practices.

Designs, builds, and operates scalable ETL/ELT data pipelines and curated datasets on Hadoop/cloud platforms using PySpark, Python, and SQL. Ensures data quality, governance, performance tuning, CI/CD for data workflows, and supports analytics and ML-ready datasets. Participates in on-call rotations and cross-functional stakeholder communication.

Designs, implements, and maintains scalable database architecture (Oracle/PostgreSQL). Optimizes SQL, ensures security, high availability, backup/recovery, and drives automation/CI-CD. Leads technical design, supports production, mentors teams, and collaborates with application teams to improve performance and reliability.

Owns commercial product outcomes across the lifecycle: strategy, market analysis, pricing, commercialization and GTM. Partners with engineering, program management, finance, legal and operations to build roadmaps, deliver cloud-enabled products, produce documentation and enable sales. Operates independently in a fast-paced, cross-functional environment, driving customer-focused product launches and scaling.

Develop and maintain scalable value-quantification frameworks, analyze data, build dashboards and reports, collaborate with cross-functional teams, manage projects and timelines, support risk mitigation, and communicate insights to stakeholders to improve program performance.

Partner with product and engineering to analyze product data, define user stories, build MVP reports, monitor product performance, track KPIs, participate in Agile ceremonies, and contribute to product roadmaps and feature opportunities.

Lead design and build cloud-native batch and real-time data platforms. Develop scalable ETL/ELT and streaming pipelines (Spark, Kafka, Flink), ensure data quality, governance, observability, security, cost optimization, and drive platform engineering excellence and team mentorship.

The Senior Software Engineer - Data Engineer will lead project phases, design technical solutions, manage team efforts, and collaborate globally while driving innovative data solutions.

The Lead - Full Stack Web Applications will provide technical leadership in developing scalable web platforms, focusing on architecture, engineering standards, and application delivery, while mentoring engineers and ensuring best practices across the stack.

The Lead, Big Data Analytics & Engineering will oversee data engineering, analytics enablement, and collaboration across teams, focusing on high-quality data platforms and solutions.

Build and operate scalable batch and streaming data pipelines, implement transformations and analytics-ready data models, enforce data quality and observability, apply software engineering practices (CI/CD, testing), automate workflows, support production operations, and leverage AI to improve testing and pipeline reliability.

The Senior Specialist will define technical requirements for Mastercard's products, manage ISO message specifications, and collaborate on product strategy and API design.

Design, develop, and support SAP Concur Expense and Coupa integrations and reporting. Implement Concur/Coupa configurations, build REST API integrations using mTLS/OAuth2, contribute to architecture, testing, and operational resiliency, and collaborate with business and security teams to ensure secure, scalable financial systems and reporting.

Develop complex solutions using various technologies, manage projects through all lifecycle phases, and collaborate with teams to drive results. Emphasizes consulting mindset, client-first approach, and effective communication skills.

The Lead Database Engineer defines and maintains data architecture, optimizes SQL tuning, implements database standards, and enhances database performance through business improvements.

Implement and lead delivery of technology solutions (Veeva-focused) by translating business problems into technical designs, managing workstreams, mentoring team members, and supporting project delivery activities including solution vision, requirements, architecture, testing, deployments, and operations.

Design, build, and operate scalable, secure full‑stack web applications. Deliver end‑to‑end features using Java/Spring Boot or Python/Django backends and React/Next.js frontends. Implement REST APIs, automated tests, CI/CD, observability, and secure coding. Troubleshoot production, participate in on‑call rotations, mentor junior engineers, and collaborate with Product/UX/DevOps to ensure reliability, accessibility, and maintainability.