The Geospatial Data Engineer designs systems to ingest and process large datasets from satellite sensors, collaborating to enhance data access tools.
The Geospatial Data Engineer is responsible for designing systems that ingest, process, and manage large geospatial datasets generated by satellite sensors.
Key Responsibilities
- Develop scalable data pipelines for satellite imagery ingestion and processing.
- Manage large geospatial datasets and optimize storage solutions.
- Integrate geospatial APIs and mapping services into internal platforms.
- Implement data transformation workflows for spectral imagery.
- Maintain metadata standards and spatial indexing for efficient queries.
- Collaborate with scientists and software engineers to improve data access tools.
Requirements
- Degree in Geospatial Engineering, Computer Science, or related discipline.
- 3+ years experience with geospatial technologies.
- Experience with GIS platforms such as ArcGIS or QGIS.
- Strong programming skills in Python or Scala.
- Knowledge of PostGIS, GeoJSON, and spatial databases.
Top Skills
Arcgis
Geojson
Postgis
Python
Qgis
Scala
Spatial Databases
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