Geospatial Data Engineer
Core
Develop geospatial data solutions involving automation, large-scale data integration, and analytical applications for infrastructure, energy, environment, and public administration sectors.
Role type
Senior Geospatial Data Engineer
Builds
Automated geospatial processes, data pipelines, and analytical solutions
Domain
Geospatial technology, sustainability, public administration
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python (geospatial analysis), SQL, PostGIS, BigQuery GIS, ArcGIS, QGIS, geopandas, GDAL, TensorFlow, PyTorch, satellite imagery processing, OGC standards
Preferred skills
Google Earth Engine, Sentinel Hub, JavaScript for web applications, public sector project experience
Technologies
Python, ArcGIS, QGIS, PostGIS, BigQuery GIS, TensorFlow, PyTorch, Google Cloud
Responsibilities
Automate geospatial processes using Python; design and maintain spatial data processing pipelines; integrate multiple geospatial data sources; optimize geospatial data models; process large volumes of raster and vector data; develop and optimize spatial SQL queries; manage geospatial databases; process and analyze satellite imagery; integrate geospatial data into web applications and corporate systems
Seniority
Senior, hands-on IC