Top SQL Jobs in Pune

The Senior Product Data Scientist will lead product analytics and experimentation to drive user growth, engagement, and revenue by leveraging data insights and A/B testing.

Lead data analysis workstreams using large datasets and AWS analytics tools to define metrics, test hypotheses, perform root-cause analysis, produce insights and visualizations, and present actionable recommendations to stakeholders.

Provide technical support and troubleshooting across PostgreSQL/TimescaleDB and full platform stack. Diagnose and optimise database performance, analyze query plans, implement TimescaleDB features, collaborate with customers and engineering, and document solutions. Participate in occasional on-call coverage and help improve platform reliability.

As a Data Scientist, you will analyze and model data to optimize machine learning systems, such as dynamic pricing and trip dispatching. Your role includes conducting exploratory data analysis, deploying ML applications, and collaborating across teams to improve solutions.

Responsibility includes designing and developing Oracle EBS HRMS modules, customizing workflows, generating reports, and providing support for implementations and enhancements.

The role involves driving the development and support of Oracle EBS HRMS modules, collaborating with stakeholders on HR processes, and customizing workflows. Key responsibilities include developing PL/SQL procedures, generating reports, and participating in Oracle HRMS implementations.

Design, develop, and maintain scalable server-side applications with Node.js. Build RESTful APIs and microservices, optimize performance and security, collaborate with front-end developers, conduct code reviews, debug issues, and mentor junior developers while staying current with industry trends.

This role involves assisting in CI/CD pipeline development, configuration management, cloud platform work, and learning DevOps tools within a remote team.

Responsible for developing and maintaining software systems, focusing on Java-based applications, conducting user assessments, and ensuring quality through test-driven development.

Build and scale Snowflake-native AI execution layers and orchestrated agent workflows. Implement RAG, embedding pipelines, vector retrieval, context-routing, monitoring, and integrations with enterprise data using SQL, Python, and DBT. Ensure scalable, observable, and governed AI systems across the organization.

Design and develop cloud-based solutions using Kubernetes and microservices architecture. Troubleshoot issues, ensure code quality, and integrate APIs in a full-stack role.

As an Implementation Consultant, you will ensure efficient implementation of ICM solutions, collaborate with customers, conduct testing, and support customers throughout the go-live process.

The Learning Experience Designer will develop and produce scalable online learning content, collaborating with SMEs and partners while adhering to design standards and optimizing learning outcomes through innovative design systems.

The Integrations Engineer will develop API integrations using Mulesoft, mentor engineers, and ensure quality and efficiency in operations.

Analyze large datasets to produce actionable insights: investigate data quality and lineage, build automated data pipelines, apply advanced analytics and ML, create dashboards and reports, and translate findings into business recommendations. May lead teams, advise stakeholders, and support governance and regulatory initiatives.

Design, build, and maintain large-scale production services and web applications; participate in Agile processes; debug production issues; mentor peers; improve engineering standards, tooling, and validate code quality and testing.

Develop and maintain scalable backend and full-stack software using established SDLC/STLC practices. Collaborate in Agile teams, contribute to CI/CD pipelines, identify and resolve performance issues, and document technical work.

Design and implement scalable BI architectures, ETL/ELT pipelines, and data models; build executive Power BI dashboards and paginated reports; ensure data integrity and performance; lead BI initiatives and mentor analysts; own automated customer and financial reporting and governance.

The Software Engineer III, In Test will develop automated test strategies, maintain test suites, and ensure quality in engineering practices, driving teamwork and effective communication.

Design, develop, and implement ML models for search and recommendation systems. Collaborate with data engineers and scientists to integrate, enhance and scale ML solutions for personalization in various sectors.

The Solutions Engineer will support direct sales cycles, providing technical expertise and tailored solutions for customers, while collaborating closely with Sales, Product, and Engineering teams.

Design and develop software solutions, collaborating with cross-functional teams, adhering to coding standards, and promoting quality and security in software development.

The Process Manager is responsible for designing and developing Tableau dashboards, optimizing performance, and integrating machine learning outputs while collaborating with stakeholders to meet reporting requirements.

The Senior Application Support Analyst monitors and maintains critical technology infrastructure, resolves complex technical issues, automates tasks, and collaborates with stakeholders to improve service delivery.

Design, build, and own AI-powered full-stack platforms and features from discovery through production. Embed AI into products and workflows, ensure reliability and security, support incidents, and mentor teammates.