- 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 (Protected Software), Azure Data Factory, QGIS or