Top SQL Jobs in Pune

As an AVP - Finance Data Quality, you will support data services for Finance regarding compliance and risk management, collaborate with IT and business stakeholders, and document data processes.

Lead and manage IT Services/application support for mission-critical banking systems. Define strategy, run incident/problem/change processes, maintain monitoring/observability, manage stakeholders and third parties, oversee risk and controls, drive service stability and continuous improvement, and resolve complex technical incidents across application, middleware, database, and infrastructure layers.

Design and deploy advanced analytical models and dashboards (Power BI, Celonis) to generate supply-chain insights. Analyze large datasets, define KPIs, partner cross-functionally to build data foundations (SQL, Snowflake, HANA VDMs), lead process mapping and automation initiatives, and drive measurable operational improvements.

Lead AI/ML engineering vision and roadmap for healthcare and life sciences. Oversee multiple client engagements, design and deploy scalable production-grade AI solutions (ML, NLP, deep learning, computer vision, LLMs), ensure regulatory readiness, responsible AI practices, and drive adoption and value realization while managing executive client relationships and expanding AI adoption.

Design, build and maintain data pipelines, data warehouses and data lakes; implement processing and analysis algorithms; optimize database performance; collaborate with data scientists to deploy ML models; lead teams or projects and influence stakeholders.

Support and maintain VBScript automations and finance-related systems in production. Troubleshoot application, script, interface, and data issues, perform root cause analysis, validate automated outputs, and support testing. Work with finance users and technical teams to translate requirements, support incidents, changes, and problem management under ITSM processes, and document procedures and knowledge articles while improving automation reliability and efficiency.

Lead and grow a Pune-based portfolio quality team supporting Equity, Fixed Income, and Multi-Asset PMGs. Oversee process documentation, recruit and develop staff, deliver KPIs, drive automation and process improvements, and partner with global APM teams to ensure control, risk management, and operational efficiency.

Design, develop and execute test plans and automated scripts to validate functionality, performance and UX. Collaborate with cross-functional teams for requirement analysis, defect root-cause, code reviews and continuous improvement of testing processes and tools.

Provide application and infrastructure support for critical banking systems: resolve complex incidents, perform preventative maintenance, analyze logs, automate monitoring and capacity management, support front-office applications, maintain knowledge base, and influence operational improvements.

Design, develop, and execute test plans and automated scripts to validate functionality, performance, and UX. Collaborate with cross-functional teams to analyse requirements, perform root-cause analysis, manage defects, and improve testing processes. Contribute to code reviews, knowledge sharing, and Agile delivery to ensure high-quality software releases. Banking domain experience preferred.

Design, develop, and execute automated and manual testing strategies. Create and run automated test scripts, validate APIs and databases, perform root cause analysis, collaborate with cross-functional teams, mentor testers, drive test governance, reporting, and continuous improvement to ensure software quality and delivery for Location Strategy projects.

Design, develop, and execute automated and manual test strategies. Create and run automated test scripts, perform API and database testing, analyze defects, collaborate with cross-functional teams, lead test governance and reporting, mentor testers, and drive continuous improvement and automation across large-scale programs to ensure software quality and reliability.

Provide first-level production monitoring and application support for global markets back-office operations, troubleshoot incidents, manage ITSM tickets, support batch jobs and releases, perform SQL-based validation, and collaborate with development and infrastructure teams to ensure timely resolution and operational stability.

Manage end-to-end production support for capital markets post-trade applications. Lead incident and problem management per ITIL, drive root-cause analysis, support releases and DR, monitor batch jobs (Control-M/AutoSys), troubleshoot across Unix/Windows/Java/databases, collaborate with global tech and business teams, mentor junior engineers, and identify automation and operational improvements.

Lead production support for capital markets post-trade systems (derivatives settlements), manage major incidents, problem/change management using ITIL, drive DR and operational readiness, coordinate cross-functional teams, monitor SLAs/KPIs, maintain runbooks, and lead automation and CI/CD for high-availability environments.

Provide day-to-day production support for capital markets post-trade applications, monitor batch jobs, troubleshoot issues across Unix/Linux, Windows, Java and databases, manage incidents per ITIL, support deployments and DR exercises, maintain runbooks, and collaborate with global technology and business teams to ensure high availability and timely resolution.

Convert data‑science prototypes into production ML services; build and operate Databricks/Spark pipelines reading/writing Snowflake; manage full model lifecycle (MLflow, CI/CD, retraining, drift monitoring); deliver/version audience segments to ad‑tech partners; ensure scalability, cost efficiency, privacy, and mentor engineers.

Build and validate statistical and ML models to create, expand, and score audience segments from multi-source data; perform data fusion, propensity/lookalike modeling, measurement (reach, overlap, lift), and partner with ML Engineering to productionize privacy-aware models.

Design, develop and improve reconciliation software using industry-standard languages and tools. Collaborate with product, design and engineering teams, follow secure coding and unit testing practices, optimize SQL Server queries/stored procedures, and support finance-specific reconciliation processes on platforms like Intellimatch, DUCO and Smartstream. Lead or contribute to complex technical decisions and coach peers. Based in Pune; requires 5+ years and a bachelor’s degree.

Learn to design and build dashboards, reports, and data models using Power BI and Microsoft Fabric. Assist with SQL-based datasets, Python-based data modeling and ML fundamentals, documentation, and analytics standardization while collaborating with global data engineers and analysts.

Provide senior technical leadership for enterprise SaaS and hybrid platforms: define architecture and standards for security, scalability, reliability, and observability; design distributed systems and agent-based solutions; mentor senior engineers; drive technical strategy, roadmap execution, and cross-functional alignment; review architecture and code and communicate trade-offs to stakeholders.

Design, develop, and maintain PostgreSQL schemas, queries, ETL, and reporting datasets for FlexTCA. Perform performance tuning, data-load workflows, production support, diagnostics on Unix/Linux, and create Python/shell automation. Collaborate with analytics, data engineering, and product teams and maintain documentation and deployment processes.

Build and maintain Python automation for deploying, migrating, validating, and monitoring Sisense dashboards and Elasticube builds. Administer Sisense environments, troubleshoot reporting issues, develop SQL/T-SQL queries, automate dashboard jobs and alerts, partner with engineering/analytics teams, and document support procedures while improving operational tooling and automation.

The Senior Data and Applied Scientist will design machine learning models, analyze data, optimize solutions, and collaborate across teams to enhance business operations.

The role involves guiding a Scrum team in developing Finance software with a focus on scalable services, code ownership, and mentoring. You'll design solutions, ensure code test coverage, and apply Agile methodologies to enhance product delivery.