Top SQL Jobs in Pune

Design, build, and maintain cross-vendor market data pipelines and QA processes. Investigate complex data issues, handle escalations, collaborate with product and engineering via JIRA, and ensure data accuracy for equities fundamentals, estimates, and market data.

Responsible for designing and developing a GCP data ecosystem, creating data pipelines, optimizing data architectures, troubleshooting issues, and mentoring junior engineers.

The Monetization Analyst will enhance team performance, drive efficiency across monetization, support, and online reputation, and implement AI-driven automation solutions.

The Business Intelligence Manager leads Tableau development, data strategy, and stakeholder engagement, while managing a team and ensuring data governance in pharmaceutical client engagements.

The QA Analyst will create and execute test cases, perform various types of testing, document defects, and collaborate with developers to ensure high-quality software delivery.

As a Product Data Analyst, you'll manage data analytics, capture user behavior, optimize user experience, and analyze user journeys across SaaS and On-premises offerings.

Lead design and implementation of automated and chaos-style tests for distributed databases. Architect scalable test frameworks, execute stress/resiliency/performance suites, debug deep data-consistency issues, modernize CI/CD test pipelines, and mentor junior engineers while influencing product quality and feature design.

The Senior Software Engineer will design, develop, and support innovative solutions, collaborating with teams, analyzing requirements, and ensuring application performance in an agile environment.

The role involves designing, developing, and maintaining backend services for an Identity Security Platform, collaborating with cross-functional teams, and optimizing performance and security.

As a Senior QA Automation Engineer, you will develop and maintain automated tests for web applications, perform manual testing, validate integrations, and create documentation while analyzing issues in a remote work environment.

The role involves designing and optimizing data pipelines using Databricks, leading a data engineering team, and ensuring data quality and compliance.

As a Full Stack Developer, you will design, develop, and maintain secure web applications, work on both front-end and back-end, and collaborate with cross-functional teams.

Design and implement testing strategies and automation solutions for complex product features, owning the automation roadmap and improving quality across teams.

The role involves analyzing user stories, developing test models, executing automated tests, and participating in sprint planning and reviews in a collaborative Agile environment.

The Python Engineer will write maintainable Python software, lead technical initiatives, collaborate globally, and contribute to community engagement at Canonical.

As a Senior+ Engineer, you will lead the design and architecture of impactful open-source projects while mentoring teams, coding, and engaging with the community.

Build, operate, and scale ingestion pipelines for marketing data (ad platforms, ecommerce, analytics). Normalize and transform data into shared schemas, ensure multi-tenant reliability, observability, and security, and partner with AI/data-science teams to expose clean data for agents.

Design, build, and maintain automation for ITSM workflows and integrations. Script with PowerShell, Python, and JavaScript to connect ServiceNow, cloud platforms, CMDBs, and monitoring tools. Develop bots/modules, monitor automated workflows, optimize SLAs, apply AI/ML for predictive incident resolution and self-healing, and ensure compliance with ITIL and corporate security policies.

Administer and optimize Salesforce to support Sales, Marketing, and RevOps: build scalable Flows, maintain data integrity, perform large-scale deduplication/enrichment, create dashboards, integrate sales and marketing tech (ZoomInfo, Clay, D&B), and support client-facing implementations.

Build, test, and maintain scalable web applications using Node.js and TypeScript. Design and optimize PostgreSQL databases, integrate third-party APIs (REST, GraphQL, Webhooks), develop frontend components with React.js, use Git for version control, troubleshoot performance issues, and collaborate with cross-functional teams. Support cloud deployments (AWS, Fly.io) and basic CI/CD/Docker workflows.

Build, test, and maintain scalable web applications using Node.js and TypeScript. Design and optimize PostgreSQL databases and SQL queries. Integrate third-party APIs (REST, GraphQL, webhooks). Implement frontend components with React or similar, use Git for version control, troubleshoot issues, and collaborate with cross-functional teams. Support CI/CD and containerization (Docker) and deploy to cloud platforms (AWS, Fly.io).

Design, develop, and maintain Java applications and microservices (Spring Boot/Hibernate). Build RESTful APIs, optimize performance, troubleshoot issues, write and review clean code, integrate third-party APIs, document work, and participate in Agile/Scrum ceremonies.

Perform exploratory analysis, build dashboards and reports (Tableau), write SQL queries, use Python for data cleaning and predictive models, collaborate with stakeholders, communicate insights, and maintain data models, pipelines, and quality checks.

Lead end-to-end analytics for credit and risk use cases: extract and aggregate large datasets, run advanced analyses, build Tableau dashboards, deliver insights to stakeholders, and mentor junior analysts to drive data-led decisions.

Administer and govern the Snowflake-centered data platform and related tools (Databricks, Fivetran, dbt, Airflow, Monte Carlo). Optimize performance, implement data security (dynamic masking, RLS, SSO/SAML), automate operations with Python/SQL, monitor costs and resource usage, and optionally manage Tableau Cloud.