Top SQL Jobs in Pune

Lead GBSC data engineering and analytics initiatives: design data/ETL infrastructure, implement automation, enable large-scale structured and unstructured data analysis, manage team delivery, and communicate insights to influence business decisions.

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.

Lead ML engineering for Operational Intelligence: design and productionize multimodal transformer and agentic systems, build scalable RAG/Graph-RAG and LLMOps/MLOps pipelines, implement inference services and memory/state subsystems, apply traditional and deep learning methods, enforce Responsible AI, and drive research-to-production innovation.

Lead a team to architect and deliver production-grade generative AI: multi-agent systems, multimodal transformers, RAG/Graph-RAG, LLM fine-tuning and LLMOps on cloud platforms. Build Python inference services, manage agent state/memory, implement responsible AI and governance, and integrate traditional ML for interpretable hybrid systems while researching and productionizing frontier models.

Lead QA efforts for market-facing products: define test strategies, build and maintain automated test frameworks, perform functional, API, integration and performance testing, mentor QA engineers, improve CI/CD quality gates, and collaborate with product and engineering to ensure delivery and defect resolution.

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

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.

Design and implement ETL/data automation using Alteryx and SQL, build Tableau dashboards, develop Power Platform solutions, manage Alteryx Server, gather requirements, deliver end-to-end analytics, and continuously improve reporting and data integration.

Lead end-to-end administration, optimization, and reliability of enterprise Oracle and PostgreSQL databases. Manage configuration, patching, upgrades, backup/recovery, replication, performance tuning, monitoring, and cloud database operations. Drive architecture, HA design, security and governance, root-cause analysis, process improvements, mentoring, and participate in on-call rotation.

Design, build, and maintain scalable batch and near-real-time data pipelines and curated datasets. Enable ML-ready feature datasets, implement reliability patterns, ensure secure data handling and governance, and drive engineering best practices in collaboration with data science, platform, and BI stakeholders.

Leads a first-line compliance function for liquidity regulatory reporting. Responsibilities include designing compliance test cases, managing testers, executing and analyzing testing, identifying regulatory or policy non-compliance, coordinating remediation with Finance Change and Reporting Operations, and communicating outcomes to senior stakeholders. The role requires expertise in LCR, NSFR, maturity ladders, banking products, regulatory requirements, SQL, ETL transformations, and complex data analysis.

Designs and maintains Alteryx workflows for regulatory data extraction, transformation, validation, reporting, and audit trails. Integrates SQL databases and legacy systems, develops Python and SQL automation scripts, implements process controls, and embeds error logging. Partners with reporting and IT teams to deploy Tableau, Power BI, or QlikSense dashboards for variance analysis. Trains nontechnical teams on Alteryx and translates regulatory requirements into technical solutions.

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

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 and execute performance engineering for a high-volume microservices dispute platform. Design and implement Java test logic, create and run performance tests (LoadRunner/StormRunner), profile and tune JVM, servers and databases, analyze thread/heap dumps, monitor production (Dynatrace, Splunk), define NFRs and capacity plans, collaborate with product and engineering teams in Agile.

Supports liquidity regulatory reporting controls by documenting data flows, business data elements, lineage, transformations, and controls from booking systems to reporting platforms. Performs SQL-based data analysis, test-case development, functional and business testing, quality remediation, root-cause analysis, requirements management, stakeholder coordination, and management reporting. Contributes to implementation activities, change control, documentation standards, and training junior team members.

Responsible for fixing product and security bugs, improving product supportability, debugging complex issues, writing quality Java code, developing Java/JavaScript UI components, integrating REST services, collaborating with support/professional services for L3 escalations, and working with databases, app servers, and monitoring/deployment tools.

Senior full-stack .NET developer responsible for designing, developing, integrating and deploying web applications. Lead technical delivery, mentor teams, implement CI/CD, unit tests, and collaborate with stakeholders. Work with .NET Core, C#, Azure, Angular, SQL and ORMs while promoting ownership, Agile practices, and strong OO design.

Develop and maintain backend services using Java, Spring Boot, Hibernate/JPA within microservices architecture. Build REST APIs, collaborate on frontend features (React/Angular), work with SQL databases, cloud and container platforms, CI/CD pipelines, and apply secure coding, monitoring, and AI use-case development.

Develop backend and frontend components for microservice-based applications using Java, Spring Boot, Hibernate/JPA, and REST APIs. Build and integrate front-end features with React/Angular, work with SQL databases, and deploy to cloud using Docker and CI/CD pipelines. Apply secure coding practices, monitoring, and contribute to developing AI use cases. Participate in hybrid team environment at MetLife.

Own and roadmap fleet management product experiences for dispatchers, operators, and drivers. Translate customer pain into web and mobile workflows, define metrics, run betas, work with data scientists to build AI features from sensor data, and collaborate cross-functionally while gathering field feedback.

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.

Own end-to-end delivery of engineering and analytics platform projects. Coordinate across multiple scrum teams, manage dependencies, identify and mitigate risks, drive vendor partnerships, define success metrics, streamline processes, and report progress to leadership. Work closely with engineers on design trade-offs and ensure data/SQL-driven reporting and operational readiness.