Experience5-8 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 Postgre SQL/Post GIS.
- 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: Postgre SQL/Post GIS, Python, FME (Protected Software), Azure Data Factory, QGIS or Arc GIS Pro.

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