Trigyn Technologies has a contractual chance for a Geospatial Data Scientist to work remotely. The consultant will support the design, implementation, and validation of geospatial data solutions and analytics workflows.

Requirements:

- Advanced degree in GIS, Geography, Geomatics, Geospatial Science, Computer Science, Data Science, Engineering, or a related field.
- Strong experience with geospatial data, spatial analytics, GIS implementation, and data processing.
- Hands-on experience with raster and vector datasets, coordinate systems, spatial metadata, and data quality validation.
- Experience with geospatial formats and standards such as GeoJSON, Shapefile, KML, GeoTIFF, WMS, WFS, and OGC services.

Technical Skills:

- ArcGIS, QGIS, PostGIS, Geo Server, GDAL/OGR, Geo Pandas, or similar GIS tools.
- Python for geospatial processing using Geo Pandas, Rasterio, Shapely, Fiona, and related libraries.




- SQL and Spatial SQL.
- Cloud platforms such as Azure, AWS, or Google Cloud.

Responsibilities:

- Assess geospatial data readiness and quality.
- Develop geospatial workflows for data preparation, transformation, validation, and analysis.
- Perform spatial operations including buffering, proximity analysis, aggregation, clipping, and spatial joins.
- Support geospatial API integration, map services, and data publication.
- Collaborate with data engineering, architecture, and governance teams.
- Prepare technical documentation, validation reports, and implementation recommendations.

Desirable Certifications:

- Microsoft Azure Data Engineering Certifications
- Microsoft Certified: Azure Data Scientist Associate

📌 Geospatial Data Scientist (India)
🏢 Hubstaff
📍 India