## Job Summary Role: Python Developer Location: Offshore ##

Key Responsibilities

Job Description
Geospatial
- Solid with the Python geospatial stack: GeoPandas, Shapely, Rasterio, pyproj, Fiona
- Solid grasp of coordinate reference systems (CRS), projections, and reprojection pitfalls
- Vector and raster handling: polygons, field boundaries, GeoTIFFs, zonal statistics, clipping, masking, resampling
- Spatial joins, overlays, and intersection logic at scale (e.g., field polygon vs. land-cover raster)
- Familiarity with common formats: GeoJSON, Shapefile, GeoPackage, Cloud-Optimized GeoTIFF (COG), Parquet/GeoParquet Agro domain:
- Understanding of crop types, growing seasons and crop calendars
- Knowledge of key agronomic risk drivers: drought, flood, frost, heat stress, hail,



pests/disease
- Familiarity with agricultural data sources: land-cover and crop-type products (e.g., MapBiomas), yield statistics, soil data
- Ability to translate agronomic concepts into data features (e.g., NDVI anomalies, precipitation deficits, growing degree days) Python and data science core
- Production-quality Python: clean, tested, typed, maintainable code.
- SQL, ideally PostgreSQL ## Skill Requirements Good Comm Skill ## Must Have Skill Cloud Computing,Microservices,Python ## Good to Have Skill ## Other Requirements

📌 Senior Technical Lead (India)
🏢 HCLTech
📍 India