GIS Specialist

Key Responsibilities
Geospatial Data Layer Development Create and integrate three primary geospatial layers: Land P arcels: Property boundaries and fi eld divisions
Vegetation Status: Real-time crop health and vigor mapping Soil Types: Soil classifi cation and characteristics mapping Ensure all layers are clean, well-structured, and ready for production use GIS Software Implementation Work with QGIS and/or ArcGIS for desktop geospatial processing Export data in formats compatible with web mapping frameworks (Leaflet, Mapbox, or similar) Ensure seamless integration between desktop GIS and web mapping stacks Map Design & User Experience Design intuitive symbology and styling that clearly differentiates: Vegetation vigor levels (healthy vs. stressed crops) Soil classifi cation types Land parcel boundaries Balance visual clarity with information density Enable smooth zoom functionality from farm-level overview to individual field detail Data Architecture & Integration Structure attribute tables to support future integration with: IoT sensors (soil moisture, weather stations) Farm machinery telemetry Crop health monitoring systems Prepare data schemas for dashboard widgets monitoring: Crop health metrics Water usage tracking Input (fertilizer/pesticide) application tracking Whole-farm operational overview Knowledge Transfer Conduct brief hand-off session (screen share or in-person) Document project organization and layer structure Train internal team on updating and maintaining layers independently Provide clear guidelines for adding new data sources Required Qualifications
Technical Skills: Proficiency in QGIS and/or ArcGIS Pro Experience with web mapping frameworks: Leaflet, Mapbox, OpenLayers, or ArcGIS Online Strong understanding of: Geospatial data formats (Shapefiles, GeoJSON, KML, GeoTIFF) Coordinate systems and projections Spatial databases (PostGIS, Oracle Spatial) Knowledge of data visualization and cartographic design principles Experience with geoprocessing and spatial analysis Domain Experience Must Have: Previous work on agricultural, forestry, or environmental monitoring dashboards Experience integrating remote sensing data (satellite imagery, drone data) Understanding of vegetation indices (NDVI, EVI) and soil mapping Familiarity with precision agriculture concepts Soft Skills Strong problem-solving and spatial reasoning Excellent attention to detail and data accuracy Ability to communicate complex geospatial concepts to non-technical stakeholders Self-motivated with ability to work independently Preferred Qualifications Bachelors/Masters degree in GIS, Remote Sensing, Geospatial Science, Geography, or related field Experience with Python scripting for GIS automation (ArcPy, PyQGIS, GDAL) Knowledge of GPS/GNSS fi eld data collection Familiarity with IoT sensor data integration Experience with agricultural data sources (satellite imagery, soil surveys, crop yield data) Portfolio demonstrating farm management or environmental monitoring projects Skills: openlayers, shapefiles, geojson, postgis, mapbox, soil, vegetation, oracle spatial, data, arcgis, gis, crop, leaflet, qgis