Role : Full-Stack Developer (React + Python + Databricks SQL)
Role Summary
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).
Required Qualifications :
6+ years
of professional experience as a Full Stack Developer.
Expert-level
knowledge of
Python
(Flask, Django, FastAPI).
Strong hands-on experience with
ReactJS .
Stack Engineer • India