GIS, Geospatial Engineer

Job Scope

In this role, you will be at the intersection of data, technology, and real-world problem-solving. You will be responsible for the end-to-end management and analysis of geospatial data to support key business decisions for our teams. You will work with a variety of data sources, create models, visualizations, and tools that have a direct impact on people lives.

Main Duties and Tasks

• Data Management & Analysis: Acquire, process, clean, and manage vector and raster geospatial data from diverse sources (e.g., public repositories, satellite imagery, drone data, internal databases).
• Spatial Modeling & Geoprocessing: Perform spatial analysis (e.g., overlay, proximity, network analysis) and develop models to solve specific business problems.
• Map Creation & Visualization: Design and produce high-quality static and interactive maps, dashboards, and reports for both technical and non-technical audiences.
• GIS Platform Management: Contribute to the maintenance and development of our enterprise GIS (e.g., ArcGIS Online/Enterprise, QGIS Server) and associated databases.
• Collaboration & Support: Work closely with cross-functional teams (e.g., Data Scientists, Software Developers, Project Managers) to integrate spatial analysis into larger workflows and applications.
• Quality Assurance: Ensure the accuracy, integrity, and currency of all spatial data and outputs.

Academic & Certification

• Bachelor’s degree in Geography, GIS, Geomatics, Environmental Science, Computer Science, or a related field.
• Professional certification in GIS such as (GISCI, ASPRS, RICS) or equivelent are a plus.

Core Competencies:

• Software Proficiency: Demonstrated expertise with Esri's ArcGIS Pro and the ArcGIS Online/Enterprise platform. Experience with open-source alternatives like QGIS is a strong plus.
• Spatial Data Expertise: Strong understanding of coordinate systems, projections, and geodetic concepts. Hands-on experience working with common spatial data formats (e.g., Shapefile, GeoJSON, KML, File Geodatabase, GeoTIFF).
• Analytical Skills: Proven ability to apply spatial analysis techniques to answer questions and solve problems. Experience with raster analysis (e.g., suitability modeling, change detection) is highly desirable.
• Database & Scripting Skills: Proficiency in using SQL for querying spatial databases (e.g., PostGIS, SpatiaLite). Experience with a scripting language for automation (e.g., Python with libraries like ArcPy, GeoPandas, Fiona) is a key requirement.
• Cartographic Design: A strong eye for cartographic design and the ability to create clear, effective, and visually appealing maps.