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Geospatial Data Engineer, Python
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Full-time
- The successful candidate will collaborate with various teams, including cloud analytics, data architects, and business groups, to build large-scale image data processing systems and APIs. The Geospatial Data Engineer should be proficient in working with terabytes or petabytes of data daily in a high-throughput API/microservice ecosystem.
- Knowledge in additional programming or scripting languages including but not limited to Java, Scala, JavaScript/TypeScript, or Golang.
- Experience with PostgreSQL/PostGIS and cloud object storage (e.g., AWS S3, Google Cloud Storage).
- Experience with advanced image processing workflows (LiDAR, multi/hyper-spectral imagery).
- Experience with raw data handling from Unmanned Aerial Systems (UAS) and/or Satellite image collection platforms.
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