Top SQL Jobs in Pune

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 role involves leading software engineering teams to develop and implement microservices and web applications, focusing on B2B payment solutions and cloud integrations.

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.

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.

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 Director of Platform Engineering leads end-to-end development and operational excellence of the Value Quantification Platform, overseeing architecture, engineering strategy, and team leadership, while ensuring compliance and efficient product onboarding.

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

The Senior Data Scientist will architect real-time fraud detection systems, process large data sets, mentor teams, communicate findings, and innovate using AI technologies for effective risk management.

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.

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

Develop and maintain Identity product features, fix customer-reported issues, write and test high-quality Java and JavaScript code, debug complex problems, collaborate with engineering and support, and assist in L3 escalations and occasional customer communication.

The role involves managing finance change, regulatory reporting, project management, and software testing, requiring extensive experience in financial services and team leadership.

The Data Modeller will analyze data issues, design data pipelines, apply advanced analytics, create visual reports, and collaborate with teams to optimize data solutions.

Lead and manage engineering teams for high-quality software solutions, overseeing project timelines and resource allocation while mentoring members. Drive data engineering transformation and ensure compliance with data governance. Collaborate with business partners and optimize data platforms, cultivating a culture of innovation and accountability.

The Data Engineer will build and maintain data systems, develop ETL workflows, collaborate with data scientists, and ensure data accuracy and security.

The Technical Architect designs and manages Salesforce solutions, collaborates with clients, oversees project delivery, leads technical sessions, and ensures quality standards.

The Senior Business Financial Analyst transforms financial data into business insights, supporting strategic decisions and performance analysis while partnering with various teams for financial reporting and forecasting.

Provide L2/L3 application support and develop/maintain software solutions. Troubleshoot issues, write SQL queries, use Unix/Linux shell scripting, collaborate across teams, follow secure coding and testing practices, and support operational processes within an IT/Banking environment.

Provide L2/L3 application support and develop software solutions: write and maintain code, unit tests, and secure practices; troubleshoot using SQL and Unix/Linux scripting; collaborate with product and engineering teams; participate in code reviews; use monitoring tools and ITIL processes to resolve incidents and improve platform reliability.

Provide L2/L3 application support and develop/maintain scalable software solutions. Collaborate with cross-functional teams, follow secure coding and unit testing practices, troubleshoot production issues, use SQL and shell scripting for diagnostics, and work with monitoring tools to ensure operational stability.

Consult on digital marketing effectiveness for a global MedTech client: analyze KPIs, diagnose traffic and conversion drivers, run SQL-based exploratory analyses in enterprise data lakes, evaluate channel and campaign performance using analytics platforms, develop executive-ready insights, and partner with marketing, data engineering, and visualization teams to optimize customer journeys.

Gather and analyze client requirements, identify gaps, and develop BI dashboards using Qlik Sense/QlikView, Power BI, or Tableau. Present dashboards and storylines to end users, collaborate with distributed teams, and manage multiple projects under pressure.

Provide support for METRO Group corporate applications (Sales, Logistics, Purchasing). Monitor and report data flows, diagnose and troubleshoot production issues, resolve incidents from First Level Support, and escalate to specialized teams. Prioritize workload, meet deadlines, and communicate solutions to stakeholders.

Design, develop and deliver scalable, secure full-stack Java applications and microservices. Collaborate with product, design and engineering peers, perform code reviews, implement unit and integration tests, and use CI/CD and DevOps practices to ensure high-quality production deployments.

Lead development of generative and multimodal AI systems: design agentic workflows, build and fine-tune transformer models, implement hybrid retrieval and knowledge-graph solutions, deploy scalable model APIs on cloud, collaborate with cross-functional teams, and mentor junior engineers.