- Proven experience (8+ years) architecting and building enterprise GIS systems or spatial data platforms.
- Deep understanding of PostgreSQL and PostGIS, including spatial indexing, performance tuning, and advanced queries.
- Experience designing and implementing multi-tenant or customer-segregated data models.
- Familiarity with GIS data formats (Shapefiles, GeoJSON, GML, KML, etc.) and data transformation workflows.
- Solid experience with QGIS or similar GIS desktop tools; understanding of how these tools interface with spatial databases.
- Solid understanding of spatial reference systems, projections, and coordinate transformations.
- Working knowledge of ETL processes for GIS data acquisition from public agencies or government portals.
- Experience integrating GIS data with APIs, web-based viewers, or enterprise systems.
Nice to Have
- Knowledge of modern GIS frameworks or libraries (e.g., GeoServer, MapServer, GDAL/OGR, FME).
- Familiarity with cloud-native architectures (e.g., AWS/GCP-based spatial data storage or serverless functions).
- Experience with open-source GIS stack deployments.
- Familiarity with regulatory or industry-specific standards in utilities or municipal infrastructure GIS systems.
📌 GIS Architect (India)
🏢 XTGLOBAL INFOTECH
📍 India
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