Experience Fresher-friendly - open to freshers / early-career candidates
About the role
structured by ORICurrent availability is unverified. Check the employer’s posting before applying.
# GIS Developer (QC09016) Share via: Share via WhatsappShare via Facebook About Aereo Aereo (formerly Aarav Unmanned Systems) is a deep-tech company building the future of how the physical world is mapped, understood and managed. We build end-to-end drone and geospatial intelligence solutions for enterprises and…
What you will do
- Develop and implement geospatial data processing, analysis and spatial analytics solutions.
- Build and maintain GIS applications, tools and services using Python and relevant geospatial libraries.
- Work with diverse geospatial data formats including Shapefile, GeoJSON, KML, GeoTIFF and other raster/vector datasets.
- Perform vector analytics, spatial operations, coordinate transformations and spatial data manipulation.
- Develop scalable geospatial processing workflows using open-source technologies such as GDAL, GeoPandas, Shapely, Rasterio, PostGIS and QGIS.
What they are looking for
- Strong academic and practical foundation in GIS, Geoinformatics, Geospatial Technology, Remote Sensing or a closely related discipline.
- 1+ year of hands-on professional experience in GIS application/software development.
- Strong proficiency in Python with experience building real-world applications, scripts, processing pipelines or geospatial tools.
- Strong understanding of GIS concepts, spatial analysis and geospatial data processing.
- Hands-on experience with vector data and spatial operations.
- Experience working with geospatial libraries/tools such as GDAL, GeoPandas, Shapely, Rasterio, Fiona, PyProj or equivalent.
- Working knowledge of PostgreSQL/PostGIS or another spatial database.
- Experience working with common geospatial formats such as Shapefile, GeoJSON, KML/KMZ, GeoTIFF etc.
- Familiarity with QGIS and/or ArcGIS.
- Understanding of coordinate reference systems, projections and spatial transformations.
- Bachelor's or Master's degree in Geoinformatics, GIS, Geospatial Technology, Remote Sensing, Geography, Geomatics, Civil Engineering, Computer Science, Information Technology or a closely related discipline.
- Candidates must have a formal academic background in GIS/geospatial technologies or a closely related field; candidates without relevant GIS/geospatial academic or professional foundations will not be considered.
Nice to have
- Experience developing and deploying GIS applications or geospatial APIs.
- Experience with FastAPI, Flask, Django or similar Python frameworks.
- Familiarity with web-mapping technologies such as Leaflet, Mapbox or OpenLayers.
- Experience with cloud platforms such as AWS or Azure and cloud-based geospatial processing.
- Exposure to remote sensing and satellite/drone imagery analysis.
- Experience working with LiDAR, point clouds, DEM/DSM or 3D geospatial datasets.
- Familiarity with machine learning or statistical modelling applied to geospatial problems.
- Experience with large-scale geospatial data processing and optimization.
GISgeospatial data processingspatial analysisPythonvector analyticscoordinate transformationsremote sensingspatial databasesGDALGeoPandasShapelyRasterioFionaPyProjPostgreSQL/PostGISQGIS
Full posting text
Experience: Entry Level