• Process, classify, and validate aerial LiDAR and point cloud data
• Extract and model utility assets, including power lines, conductors, poles, towers, vegetation, and ground features
• Analyze large-scale spatial and 3D datasets for infrastructure and utility projects
• Identify and address data-quality issues
• Work on GIS and LiDAR projects for utility and power infrastructure
Requirements
- 1–4 years of experience with LiDAR / point cloud processing
- Hands‑on experience with point cloud classification and QA/QC
- Experience working with 3D spatial data
- Experience with feature extraction from LiDAR data
- Solid attention to detail and ability to identify data-quality issues
- Basic/intermediate GIS knowledge
- Experience with utility, power transmission, or distribution data (Nice to Have)
- Experience with aerial LiDAR (Nice to Have)
- Experience working with conductors, poles/towers, vegetation, and ground classes (Nice to Have)
- Understanding of conductor/catenary modeling and clearance analysis (Nice to Have)
- Experience with PLS-CADD,
TerraSolid/TerraScan, or MicroStation (Nice to Have)
- Experience with utility asset modeling or powerline mapping (Nice to Have)
Core Competencies
Demonstrates expertise in processing and analyzing aerial LiDAR and point cloud data, with a strong focus on feature extraction and data quality assurance. Proficient in GIS applications related to utility and power infrastructure projects.
Highest-signal resume keywords
- LiDAR Processing
- Point Cloud Classification
- 3D Spatial Data Analysis
- GIS Knowledge
- Utility Asset Modeling
Hard Skills
- LiDAR Processing
- Point Cloud Classification
- 3D Spatial Data Analysis
- Feature Extraction
- Data Quality Assurance
Soft Skills
- Attention to Detail
Industry Keywords
- Utility Infrastructure
- Power Transmission
- Power Distribution
- Aerial LiDAR
- Conductor Modeling