Hiring Senior Geospatial Python Engineer
4 days ago
Experience: 4–6 Years
Engagement: Contract to Hire (6 Months)
Work Mode: Remote
What You'll Do
- Build and run production-grade geospatial data pipelines using Python
- Perform spatial operations: buffer, intersect, union, spatial joins
- Process large vector & raster datasets
- Work on PySpark + Databricks for scalable geospatial analytics
- Handle CRS, projections, and transformations across datasets
- Optimize pipelines for performance and scale
Must-Have Skills
- Strong hands-on experience with:
- GeoPandas, Shapely, Fiona, Pyproj
- Rasterio (mandatory – raster experience required)
- Solid understanding of CRS, projections, vector vs raster
- Python (Pandas, NumPy)
- PySpark and Databricks (Delta Lake)
- SQL and geospatial databases (PostGIS / Snowflake)
- Experience on AWS / Azure / GCP
Good to Have
- Experience with large geospatial datasets
- Performance tuning for geospatial workloads
Job Type: Contractual / Temporary
Pay: ₹1,500, ₹1,600,000.00 per month
Work Location: Remote
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