Python Developer, reactjs and fastapi

About the Role

We are building data-centric applications on Databricks Apps that combine interactive React UIs with Python backends powered by Databricks SQL and Delta Lake.

We are looking for a Full-Stack Developer who can design and deliver modern, scalable applications that integrate seamlessly with the Databricks Lakehouse platform.

Responsibilities

Develop interactive, user-friendly React frontends inside Databricks Apps.

Build and maintain Python backends using FastAPI / Flask , integrated with Databricks SQL endpoints .

Write secure, parameterized queries against Delta Lake tables via Unity Catalog .

Design and expose REST APIs that serve curated data and support interactive UI workflows.

Collaborate with Databricks engineers to connect front-end workflows with data pipelines.

Implement authentication and authorization flows (SSO, OAuth, token management).

Work with CI / CD pipelines (GitHub Actions / Azure DevOps) to deploy applications across DEV / QA / PROD.

Optimize for performance, scalability, and cost efficiency in Databricks.

Required Skills

Frontend (React) :

Strong React expertise (Hooks, Context API, state management).

UI frameworks (TailwindCSS, Material Ui etc.).

Data visualization libraries (Recharts, D3, Plotly).

API integration (async data handling).

Backend (Python + Databricks) :

Strong Python development with FastAPI / Flask .

Experience writing APIs that query Databricks SQL endpoints .

Proficiency in SQL, parameterized queries, and performance tuning.

Experience integrating with Databricks REST APIs / SDKs (jobs, clusters, secrets, Unity Catalog).

Databricks Integration :

Understanding of Delta Lake.

Unity Catalog for governance and secure data access.

Familiarity with Databricks Apps SDK, lifecycle, and deployment.

DevOps / CI / CD :

GitHub Actions, Azure DevOps, or similar CI / CD pipelines.

Docker knowledge for packaging backend services.

Awareness of cloud IAM, networking, and secrets management.

Preferred / Nice to Have

Exposure to PySpark for advanced transformations.

Knowledge of healthcare or data compliance domains (HIPAA / PHI).

Experience with observability tools (Dynatrace, Datadog, Prometheus, ELK, Open Telemetry)

Agile experience.