Développeur SIG principal
RemoteCanada
Job Summary
Drive geospatial data and tooling needs for large-scale projects by sourcing imagery, vector data, and point clouds from public, commercial, and partnership sources. Aggregate data for target regions to ensure complete coverage while managing freshness, quality, and cost. Build and utilize automated tools with open-source libraries like GDAL to preprocess, align, and reformat datasets for AI/ML pipelines. Partner with AI/ML, Pipeline, and Product teams to supply diverse data for new machine learning models and regional rollouts. Collaborate with leadership to align technical work with high-level product vision.
Required Qualifications
- Bachelors or Masters degree in GIS, Computer Science, Engineering, Mathematics, or a related field
- 2+ years of relevant industry experience in a fast paced, high growth tech environment
- Experience with GIS modalities and formats, including at least some of orthoimagery (e.g. GeoTIFF), point clouds such as LiDAR (e.g. LAS/LAZ), vector data (e.g. ESRI Shapefiles, GeoJSON, OSM), raster data storing elevation and terrain information such as DTM, DSM, and DEMs, and raster data storing landcover information
- Software engineering experience, including designing and architecting software
- Experience in Python for automation of common tasks and/or contributing to our existing tool palette
Desired Qualifications
- Team-oriented and collaborative approach with a demonstrated aptitude, enthusiasm and willingness to learn new methods, tools, practices and skills
- Passion and curiosity for GIS and software engineering
- Experience working with open-source GIS libraries and tools, including PROJ and GDAL, for spatial data processing, transformation, and analysis
- Comfort with working outside of an ArcGIS-centric workflow
- Experience with some flavor of Linux
- Comfort with some flavor of a *nix shell environment (e.g. bash)
- Enthusiasm for automated development processes and systems
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