Geospatial Specialist (Lidar)
Woolpert · Johannesburg, Gauteng
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Start free — we apply for you →As a Geospatial LiDAR Processor at Woolpert, you will
• Process and analyse airborne and ground data to meet client specifications • Apply advanced digital mapping techniques, including LiDAR post-processing, photogrammetry, and terrain modelling • Perform LiDAR post-processing tasks • Conduct aerial triangulation • Carry out orthophoto rectification • Create and edit DEM Digital Elevation Model and DSM Digital Surface Model outputs Develop 3D mesh models • Process oblique imagery Contribute to planning and problem-solving in sectors such as environmental • conservation, urban planning, disaster management, and resource exploration Work successfully within a team, follow detailed instructions, and consistently demonstrate professionalism across all tasks and interactions. • Effectively receive, backup, evaluate, and analyze LiDAR, imagery, and ground data, ensuring data quality and error detection. • Efficiently process airborne data to client-ready deliverables that meet specified requirements and accuracy standards. • Perform QC/QA reviews, provide clear and accurate progress updates, and collaborate with the LiDAR Team Leader and senior team members to drive continuous improvement.
What You Will Bring
- 3 Years experience in the Geospatial industry.
- Relevant qualifications in Geography, Geomatics, Geospatial Sciences, GIS, Remote Sensing, or a related field.
- Proficiency in basic GIS software packages, QGIS, Global Mapper, ESRI.
- Strong knowledge of geospatial data formats, coordinate systems, and data projections.
- Excellent problem-solving skills and the ability to translate complex spatial concepts into actionable insights.
- Strong attention to detail and commitment to data accuracy.
- Effective communication skills, both written and verbal, to convey technical information to non-technical stakeholders.
- Ability to work independently as well as collaboratively within a team environment.
- Prior experience working with LiDAR, GIS, and remote sensing technologies is preferred, for example: Terrasolid & Microstation etc.