Top SQL Jobs in Pune

Lead Technical Architect drives end-to-end software development, ensures reusable stable code, mentors engineers, integrates cloud and modern architectures, leads design, reviews, testing, and delivery.

Lead Technical Architect responsible for full software development lifecycle, designing reusable, stable components, mentoring engineers, driving cloud-based (Azure) microservices, ensuring quality (TDD/BDD, unit tests), participating in estimates, code reviews, CI/CD and integrating modern technologies like Kafka and containerization.

Lead trade automation initiatives, drive strategic projects, optimize trade workflows, oversee client integrations, ensure compliance, and manage a team of analysts.

Provide L1-L3 production support for Asset Management trading applications (Charles River IMS). Monitor alerts, troubleshoot incidents, apply code fixes, manage escalations, coordinate with development/infrastructure/offshore teams, participate in on-call rotations, and drive service improvements.

Design, develop, and optimize relational database schemas and programmable objects. Build and maintain ETL pipelines, tune query performance, enforce data governance and security, perform backups and recovery, support production systems (including after-hours), and mentor junior developers while participating in code reviews and technical specifications.

Design, develop, and maintain enterprise Power BI reporting solutions: semantic models (star schema/tabular), advanced DAX, dynamic KPI visuals, paginated reports, RLS, and Power Platform automations. Integrate and analyze risk data from multiple systems, ensure governance and performance, resolve reporting issues, and evaluate new Fabric/Copilot capabilities for enterprise adoption.

Design and oversee enterprise application architecture, optimize system performance, diagnose production deficiencies, enforce PCI/data security, lead vendor evaluations and RFPs, coordinate engineering teams, and implement full-lifecycle system configurations and documentation.

The role focuses on developing analytical data science products, implementing algorithms for insights, and expertise in deep learning frameworks.

Act as Product Owner for Unsecured Loans: define product vision, manage and prioritise backlog, write user stories with acceptance criteria, liaise between stakeholders and engineering, drive agile delivery, use data/insights to optimise product performance, manage risk and controls, and ensure alignment with commercial and regulatory objectives.

Lead design and build of generative AI, multimodal, and agentic systems. Develop and fine-tune transformer models, retrieval/knowledge-graph augmented systems, and production APIs. Deploy and monitor ML services in cloud, collaborate cross-functionally, mentor engineers, and ensure safety, evaluation, and scalable MLOps practices.

Build and maintain scalable Azure and Databricks ETL/ELT pipelines using SQL and Python/PySpark. Design cloud-native data lakes, ingest/process data with ADF/ADLS, optimize data models, monitor pipeline health, troubleshoot failures, and collaborate with architects, QA, DevOps, and business teams.

Lead GenAI engineer role to design, build, and deploy production-grade LLM-based, multimodal, and agentic systems. Responsibilities include model fine-tuning, retrieval and KG-augmented systems, API/microservice deployment, cloud/MLOps integration, monitoring, mentoring, and cross-functional collaboration to deliver scalable, safe, and cost-optimized AI solutions.

Build and deploy production-grade generative AI and multimodal systems: design agentic workflows, fine-tune transformer models, implement retrieval and KG-augmented systems, create scalable APIs/microservices, and collaborate with engineering, CX, and MLOps teams to ensure monitoring, evaluation, and hallucination control.

Own and execute testing for complex software and firmware features, design and run manual and automated tests, create test plans/cases, log and track defects, collaborate with development/product teams, analyze requirements, present test reports, and mentor junior QA engineers.

Design, build, and deploy generative AI and multimodal systems including agents, retrieval and KG-augmented solutions. Implement model fine-tuning, evaluation, and guardrails; create scalable APIs/microservices; deploy and monitor AI systems on cloud platforms; collaborate cross-functionally and mentor junior engineers.

Lead development of production-grade generative AI systems: design and deploy LLM-based, multimodal, and agentic applications; build retrieval and KG-augmented pipelines; implement fine-tuning and alignment (LoRA/QLoRA, RLHF/RLAIF); deploy scalable APIs and MLOps; collaborate cross-functionally and mentor junior engineers.

Build and maintain scalable Azure cloud data platforms and ETL/ELT pipelines using Databricks, Synapse, ADF, ADLS. Develop SQL and Python/PySpark transformations, monitor pipeline health, troubleshoot failures, and collaborate with architects, QA, DevOps, and business stakeholders.

Lead development of production-grade generative AI and multimodal systems: design agentic pipelines, fine-tune LLMs, build retrieval and KG-augmented solutions, deploy scalable model APIs on cloud, and mentor engineers while partnering with product and CX teams.

Provide L2/L3 application support for critical banking systems: monitor infrastructure, troubleshoot incidents, perform preventative maintenance, tune monitoring/alerts, automate tasks, manage capacity/resiliency, document knowledge, and liaise with stakeholders across functions.

Lead design, development, and maintenance of scalable test automation for web, mobile, and APIs. Integrate automated tests into CI/CD, mentor QA engineers, perform API and database validations, drive quality metrics, and collaborate across teams to improve test coverage and release quality.

As a Data Engineer, you will develop and maintain data pipelines and ETL processes, manage data integrations, and optimize data storage to support analytics and reporting for the rental housing industry.

Manage and optimize MSSQL databases and cloud database solutions, perform data migrations, develop complex SQL queries, stored procedures and reporting automation, implement ETL and data warehousing solutions, ensure data quality and security, and collaborate with stakeholders to deliver actionable insights under tight deadlines.

Design, develop, and maintain backend applications and microservices using C# and .NET Core. Build RESTful APIs, implement SOLID design patterns, write unit tests, work with Entity Framework and SQL databases, participate in code reviews, debugging, performance tuning, and Agile/Scrum team activities while collaborating with frontend, QA, and product teams.

Build and maintain data pipelines, warehouses and lakes; design ETL and distributed data architectures; implement processing and analysis algorithms; collaborate with data scientists to deploy ML models; lead or coach teams and ensure data security and governance.

The Technical Product Owner maximizes product value by managing the backlog, refining user stories, and ensuring alignment with business goals while acting as a liaison with stakeholders.