LiDAR Data Processing Technician
About Us:
ZenaTech (Nasdaq: ZENA | FSE: 49Q) is a technology company specializing in AI drones, Drone-as-a-Service (DaaS), enterprise SaaS, and quantum computing solutions for mission-critical business applications. Since 2017, the company has leveraged its software development expertise and expanded its drone design and manufacturing capabilities through ZenaDrone to innovate and enhance customer inspection, monitoring, safety, security, compliance, and surveying processes.
Position Overview:
We are seeking a skilled LiDAR Data Processing Technician to join our geospatial team. This role is responsible for processing, analyzing, and managing LiDAR datasets to support surveying, engineering, construction, and mapping projects. The ideal candidate will have strong technical expertise in point cloud processing, attention to detail, and the ability to work efficiently in a production-driven environment.
Key Responsibilities:
Process raw LiDAR data (LAS/LAZ files) into usable deliverables
Perform point cloud classification (ground, vegetation, structures, utilities, etc.)
Generate Digital Elevation Models (DEM), Digital Terrain Models (DTM), and contours
Conduct quality control and quality assurance checks on LiDAR datasets
Align, calibrate, and register point clouds from multiple sources
Extract features such as breaklines, buildings, and infrastructure
Work with aerial and mobile LiDAR systems
Integrate LiDAR data with GIS and CAD platforms
Troubleshoot processing issues and improve workflows
Maintain organized project files and documentation - Collaborate with surveyors, engineers, and GIS professionals
Qualifications:
Associate’s or Bachelor’s degree in Geomatics, Surveying, GIS, or related field (preferred)
2+ years of experience processing LiDAR data
Proficiency with software such as DJI Terra, Trimble Business Center, Cyclone, etc.
Strong understanding of coordinate systems and geospatial concepts
Experience with CAD (AutoCAD, Civil 3D) and GIS platforms
Ability to interpret survey data and field notes
Strong attention to detail and problem-solving skills - Ability to meet deadlines in a production environment
Experience with UAV/drone LiDAR data processing (preferred)
Knowledge of scripting (Python or similar) (preferred)
Familiarity with photogrammetry workflows (preferred)
Experience with mobile LiDAR systems (preferred)
Understanding of surveying principles and workflows (preferred)
"We are an equal opportunity employer committed to employment equity utilizing hiring practices on merit and business needs. We encourage applications from women, Indigenous peoples, persons with disabilities, members of visible minorities and all others of legally protected status."