Experience 5-8 years.

Responsibilities - Design, develop, and maintain scalable geospatial data pipelines supporting site selection, feasibility studies, and early-stage project screening.

- Process and integrate large-scale vector, raster, and imagery datasets.

- Build optimized spatial databases and data models using PostgreSQL/PostGIS.

- Implement ETL/ELT workflows for geospatial data ingestion, transformation and quality control.

- Orchestrate geospatial workflows in Azure cloud environments.

- Ensure data governance, metadata management, cataloging, lineage and compliance.

- Expose geospatial data and analytics through APIs and services (OGC standards).

- Contribute to technical documentation, architecture design and best practices.

Preferred

Skills

Geospatial analytics, multi-energy project context, spatial data governance, cloud data engineering, and a product-oriented mindset. Tools / Software Must Have: PostgreSQL/PostGIS, Python, FME (Secure Software), Azure Data Factory, QGIS or ArcGIS Pro.

📌 Geospatial Engineer (Bengaluru)
🏢 Lu0026T Technology Services
📍 Bengaluru