Full Stack Developer (Django + React) - Gurugram

Full Stack Developer (Django + React) Experience: 2+ years What You'll Do Build and maintain Django REST APIs and background jobs (Celery) that ingest, validate, transform, and serve large datasets Build React screens — dashboards, charts, data grids, and data-prep workflows (file upload, column/value mapping) Design and query PostgreSQL schemas holding millions of rows, with attention to indexing, query performance, and data integrity Process large files and datasets efficiently — streaming/chunked reads and writes so big Excel/CSV uploads don't blow up memory or time out Integrate frontend ↔ backend cleanly, including long-running jobs handled via task polling Optimize performance across the stack — API response times, DB queries, and frontend rendering on data-heavy screens Participate in code reviews, testing, and deployment Must-Have Skills 2+ years hands-on full-stack experience Strong Python + Django (Django REST Framework, ORM, background tasks) Solid React — hooks, component structure, state management Strong PostgreSQL — schema design, joins, indexing, query optimization Demonstrated ability to handle large datasets — chunked/streaming processing on the backend, virtualization/efficient re-rendering on the frontend Experience with large-data tools — DuckDB and PySpark (or strong willingness to ramp on them) Comfortable consuming/building REST APIs Git / GitHub and modern build tools Good to Have Azure knowledge (App hosting, Blob storage, Static Web Apps, CI/CD) pandas / Polars for large-data transforms Celery / Redis for async processing Docker / docker-compose Tailwind CSS, react-hook-form, charting libraries (Recharts/Chart.js/D3) TypeScript Exposure to fintech / insurance / actuarial / data-analytics products

Strong Python + Django (Django REST Framework, ORM, background tasks) Solid React — hooks, component structure, state management Strong PostgreSQL — schema design, joins, indexing, query optimization Demonstrated ability to handle large datasets — chunked/streaming processing on the backend, virtualization/efficient re-rendering on the frontend Experience with large-data tools — DuckDB and PySpark (or strong willingness to ramp on them) Comfortable consuming/building REST APIs Git / GitHub and modern build tools Azure knowledge (App hosting, Blob storage, Static Web Apps, CI/CD) pandas / Polars for large-data transforms Celery / Redis for async processing Docker / docker-compose Tailwind CSS, react-hook-form, charting libraries (Recharts/Chart.js/D3) TypeScript Exposure to fintech / insurance / actuarial / data-analytics products