Geospatial Data Engineering: Experience designing and maintaining scalable data pipelines for spatial datasets and geospatial analytics workloads. Python Data Engineering Stack: Strong Python experience using libraries such as Pandas, NumPy, SQLAlchemy, pytest , and other data engineering tools. Geospatial Libraries & Tooling: Hands-on experience with GeoPandas, Rasterio, Xarray, rioxarray, QGIS , or similar spatial processing tools. Spatial Databases: Expertise working with PostgreSQL/Po