- Develop and maintain geospatial data processing pipelines using Python.
- Analyse and process satellite imagery and remote sensing datasets.
- Work with raster and vector geospatial data using industry-standard libraries.
- Build geospatial analytics solutions for agriculture, land use, and environmental monitoring.
- Perform vegetation and land cover analysis using indices such as NDVI, EVI, and other remote sensing techniques.
- Process and interpret SAR (Synthetic Aperture Radar) datasets.
- Develop and optimize spatial databases using PostGIS.
- Build workflows using Google Earth Engine (GEE) for large-scale satellite image analysis.
- Collaborate with cross-functional engineering and product teams to develop scalable geospatial solutions.
- Ensure high-quality, accurate, and efficient spatial data processing.
Required Skills:
- 4+ years of experience in Geospatial Engineering or Remote Sensing.
- Strong proficiency in Python.
o Hands-on experience with: GDAL o Rasterio o GeoPandas o PostGIS o Google Earth Engine (GEE) o Strong understanding of: Remote Sensing o Satellite Image Processing o NDVI o EVI o SAR Data Processing
- Experience working with raster and vector geospatial datasets.
- Good analytical, problem-solving, and communication skills.