Top SQL Jobs in Pune

The Senior System Analyst bridges business needs with technical solutions, focusing on data strategy, analytics, stakeholder management, and product ownership within the Workplace Intelligence Platform.

Lead a data science team to design and implement AI/ML solutions for life sciences R&D (drug discovery, clinical trials, regulatory), manage projects and client relationships, develop proposals and POVs, build predictive models, integrate large datasets, and communicate insights while driving capability development and research.

As a Technical Support Engineer, you will provide second-level support for Coupa's procurement and spend management platform, resolving customer issues and enhancing satisfaction by closely collaborating with technical teams. You will contribute to knowledge management and maintain up-to-date knowledge of Coupa's offerings.

Seeking an experienced GCP Data Engineer to develop, maintain data pipelines, and optimize SQL queries in BigQuery, collaborating with teams to deliver data solutions.

Provide operational support for franchise programs, handle day-to-day requests, identify risks, and drive process improvements. Build data dashboards, analyze large datasets, automate processes, and partner with stakeholders to implement solutions and enhance customer experience.

Work with internal and client teams to analyze business problems, design and implement technical solutions using best practices, apply development methodologies, assist in implementation, and support project planning and QA for technology engagements.

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

Lead development and deployment of production ML models and analytics for wealth management and retail banking. Analyze large datasets, design predictive solutions (segmentation, churn, personalization, risk), build data pipelines and feature engineering, monitor model performance, drive MLOps and responsible AI practices, and communicate insights to stakeholders.

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.

Support and grow customer adoption of Mastercard's AINS Transaction Risk Monitoring via MPGS. Manage customer relationships, drive upsells, participate in implementations, coordinate internal teams, and ensure ongoing customer satisfaction and engagement globally.

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.

Manage and mentor a cross-functional engineering team to design, build, and deploy analytics and AI-driven full-stack solutions. Lead technical direction, architect scalable data pipelines and APIs, collaborate with product and design, and champion cloud-native, testable, production-grade applications while promoting continuous improvement and responsible AI practices.

Develop, test, deploy, and maintain payment-focused software components. Troubleshoot and refactor code, adopt new languages and patterns, write tests and automation, follow secure coding standards, participate in agile delivery, document APIs, and mentor junior team members.

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.

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.