Top SQL Jobs in Pune

Design and develop data-driven solutions and scalable data pipelines using Python and SQL. Leverage Azure data products to build robust, secure architectures, ensuring data integrity, performance, and governance while supporting data-centric client projects.

Lead end-to-end treasury engagements: run discovery and requirements workshops, design solutions, configure and implement treasury software, deliver training, and provide post-go-live support. Apply deep treasury, cash management, accounting, and financial instruments knowledge while managing stakeholders.

Design, develop, and maintain enterprise web applications using Oracle APEX and modern web technologies. Build and optimize complex SQL/PLSQL, configure ORDS and web servers, integrate RESTful APIs with ERP and third-party systems, enforce security and role-based access, troubleshoot performance, and document solutions while collaborating with stakeholders.

Design, develop, test, and maintain scalable full‑stack healthcare applications using .NET, modern frontend frameworks, GraphQL, serverless cloud (AWS/Azure) and microservices. Ensure HIPAA compliance, integrate rules engines, optimize search with OpenSearch, mentor junior engineers, and stay current with healthcare and technology trends.

Own quality activities for user stories and small features from requirements through release validation. Design and execute manual, exploratory, API, database, UI, integration, regression, and automated tests. Develop and maintain Playwright automation using JavaScript or TypeScript, integrate tests into CI/CD pipelines, investigate failures, report defects, and assess release readiness. Collaborate in Agile teams, use AI-assisted testing tools responsibly, improve testability, and mentor Associate QA Engineers.

Own quality assurance for assigned software features from requirements through release. Design and execute manual, exploratory, API, database, UI, integration, regression, and end-to-end tests. Develop and maintain Playwright automation using JavaScript or TypeScript, integrate tests into CI/CD, investigate failures, report defects, validate fixes, and advise on release readiness. Collaborate with Agile teams, use AI-assisted testing tools responsibly, maintain traceability and test data, and mentor associate QA engineers.

Develop and support multi-asset investment tools including portfolio optimization, monitoring, trade building/routing, QC processing, automation, and overnight batch job support. Collaborate with researchers and PMs, own projects end-to-end from design to deployment, and build dashboards and workflows to support systematic strategies.

Design, build, test and deploy scalable, secure Java Spring Boot microservices and React/TypeScript front-ends. Implement AWS cloud-native solutions, IaC, CI/CD, observability, automated testing, and lead technical investigations. Drive safe AI-assisted engineering practices, mentor engineers, participate in architecture and agile delivery, and reduce technical debt.

Design, build, and deploy scalable AI/ML solutions using Azure OpenAI and related Azure services; lead end-to-end projects, implement RAG and LLM integrations, ensure CI/CD and secure API/data practices, and collaborate across global teams.

Build, own, and improve production-grade input/output connectors for data lakes, streaming systems, and databases. Implement robust CDC ingestion, work with table and serialization formats, ensure correctness, fault-tolerance, and high performance, and troubleshoot distributed system issues in customer environments.

Lead product strategy and lifecycle for Pratham's digital learning tools, translating field needs and pedagogical goals into prioritized roadmaps. Write problem statements and solution briefs for AI, analytics, and engineering teams; prototype and run experiments; define metrics and dashboards; champion responsible AI and child data privacy; collaborate with field, program, funders, and measurement teams; travel periodically to implementation sites for research and rollout.

Lead analytics to improve player experience, engagement, retention, and monetization. Analyze player lifecycle, run cohort and funnel analyses, design and evaluate A/B tests, build dashboards, define product metrics, investigate KPI changes, and partner with product, marketing, engineering, and data teams to deliver data-driven recommendations and improve data quality.

Design and deploy production AI systems that integrate backend services, build reusable ML infrastructure, optimize AI systems, and mentor engineers on best practices.

Design, build, and deploy machine learning models for a payments platform, overseeing end-to-end solutions and experimentation, while monitoring models in production.

Design, develop, and optimize Oracle-based databases and PL/SQL; build and maintain Core Java backend services and RESTful APIs; lead requirements gathering; tune performance and ensure scalable RDBMS architectures; review and modernize legacy SQL and Java code.

The Senior Analyst will own Pricing Tools, manage data governance, drive pricing strategy decisions, execute audits, and enhance operational effectiveness.

As a Strategic Projects Lead, you will manage high-impact AI data initiatives, optimize operations, and enhance customer relationships while collaborating with various teams to drive revenue growth.

Design, build, and maintain batch and real-time ETL/ELT data pipelines and workflows. Automate ingestion, aggregation and logging; ensure data accuracy, security, and compliance. Implement data warehouse and lake solutions, mentor junior engineers, and collaborate with stakeholders to meet business requirements.

Manage end-to-end relationships with App & Web publishers to drive revenue growth and satisfaction. Optimize yield via header bidding, ad stack diagnostics, and data-driven recommendations. Collaborate with Product, Ops, Demand, and Engineering to resolve integrations, lead onboarding, and shape roadmap. Run QBRs, upsell monetization products, represent InMobi externally, and coach peers to uplift team capabilities.

Lead the evolution of Corporate Applications within Finance Systems, focusing on Oracle Financials, to enhance efficiency and automation using AI tools. Collaborate with stakeholders to interpret business requirements, support core finance platforms, and ensure compliance. Manage projects, conduct testing, and facilitate user acceptance.

Analyze large-scale on-chain data to detect anomalous transactions, develop detection mechanisms and risk monitoring frameworks, apply supervised and unsupervised ML, identify malicious accounts via community-discovery algorithms, and design integrated on-chain/off-chain prevention and control systems.

Design and execute test plans for ETL/data workflows, perform functional/integration/regression testing, validate backend data using SQL/Snowflake, read stored procedures, identify defects, and develop/maintain automation scripts and test documentation.

Design and execute test cases, plans, and strategies for ETL/data workflows. Perform functional, integration, and regression testing, validate backend data using SQL/Snowflake, read stored procedures, identify defects, support resolution with developers, and develop/maintain Python automation scripts and test documentation.

Lead offensive and defensive security engineering for a threat-hunting product: emulate attackers, perform threat research, design workflows, validate detection accuracy, run penetration tests and simulations, collaborate with data science, and guide product teams on security best practices.

Design and optimize enterprise data models and pipelines integrating SAP Core, PostgreSQL, MySQL and legacy systems. Implement data cataloging, lineage and metadata management. Tune SQL and database performance, build ETL/ELT pipelines, and collaborate with architects and global teams to deliver scalable data architecture for a new strategic initiative.