Data Engineer
Core
Design, develop, and maintain ETL pipelines, backend APIs, and data-driven dashboards to build end-to-end data products.
Role type
Full Stack Data Engineer
Builds
Data pipelines, backend services, and user-facing dashboards
Domain
Data Engineering / Full Stack Development
Deliverable
production ML models | product features | dashboards & analysis
Required skills
PySpark, SQL, Python, FastAPI, Flask, React.js, Node.js, ETL Development, API Integration
Preferred skills
Cloud platforms, modern data architectures, software development best practices, version control
Responsibilities
Design and maintain ETL pipelines; Develop and maintain backend APIs; Build and enhance data-driven dashboards; Integrate data from multiple sources; Ensure data quality, performance, and scalability; Troubleshoot and optimize data workflows
Seniority
Mid-level (2–3 years experience)
