4 days ago
Mumbai, IndiaMid Level / Senior
Responsibilities
- Design and build React and FastAPI web applications deployed as Databricks Apps.
- Develop data stewardship queues, approval workflows, confidence visualizations, lineage dashboards, quality monitoring, and pipeline health interfaces.
- Implement REST APIs integrating with Unity Catalog, Databricks SQL, Delta tables, and AI Model Serving endpoints.
- Integrate applications with Unity Catalog through the Databricks SDK and REST APIs for resource discovery, access control, and lineage.
- Maintain Databricks Asset Bundles for CI/CD deployment across DEV, INT, UAT, and PROD environments.
- Collaborate with platform engineers to deliver stateless, containerized, and scalable applications within the Databricks security perimeter.
- Write unit and integration tests while maintaining over 80% coverage on critical paths.
- Participate in design reviews, pull-request reviews, architecture discussions, and documentation of API contracts, component libraries, and deployment runbooks.
- Uphold front-end coding standards, TypeScript typing discipline, and accessibility guidelines.
Requirements
- 3–6 years of professional experience building web applications in TypeScript and React environments.
- Proficiency with React hooks, component composition, state management using Redux Toolkit or Zustand, and Vite or ESBuild.
- Python backend experience with FastAPI or Flask, including REST API design, asynchronous handlers, and dependency injection.
- Solid understanding of RESTful API design and OpenAPI or Swagger documentation.
- Hands-on experience building or operating Databricks Apps, including SDK authentication, workspace resource management, and application lifecycle management.
- Working knowledge of Unity Catalog schemas, tables, volumes, grants, and lineage APIs.
- Familiarity with Delta Lake, Spark SQL, and the DBSQL Connector for Python.
- Exposure to Databricks Asset Bundles for CI/CD and multi-environment deployment.
- Experience with enterprise DevOps pipelines; Azure DevOps or GitHub Actions is preferred.
- Comfort with Docker, Azure-hosted deployment, Git, pull-request workflows, semantic versioning, and basic SQL.
- Desirable qualifications include experience with Anthropic Claude, OpenAI, or other generative AI APIs; data-quality tooling; MDM, data stewardship, or data governance UIs; Azure or Databricks certifications; graph visualization; geospatial libraries; or data-intensive industry domains.
Benefits
- Meaningful ownership of a greenfield platform used by data professionals across a global enterprise.
- Visibility to senior data and technology leadership and involvement in strategically important decisions.
- Opportunity to work at the intersection of enterprise data management and applied AI or agentic workflows.
- Competitive compensation benchmarked to the India technology talent market with performance-linked variable pay.
- Flexible remote-first working within India with collaboration across multiple global regions.
- Learning and certification budget for Databricks, Azure, and related platforms.
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