- 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 through QA/QC activities.
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.
- Strong attention to detail and ability to identify data-quality issues.
- Basic/intermediate GIS knowledge.
- Nice to have: 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.
Core Competencies
Demonstrates expertise in processing and classifying aerial LiDAR and point cloud data, with a robust focus on data quality through QA/QC activities. Proficient in analyzing 3D spatial datasets and extracting utility assets for infrastructure projects.
Highest-signal resume keywords
- LiDAR Processing
- Point Cloud Classification
- QA/QC Experience
- 3D Spatial Data Analysis
- GIS Knowledge
Hard Skills
- LiDAR Processing
- Point Cloud Classification
- Feature Extraction
- Data Quality Analysis
- 3D Spatial Data Analysis
Soft Skills
- Attention to Detail
Industry Keywords
- Utility Data
- Power Transmission
- Power Distribution
- Aerial LiDAR
- Conductor Modeling
- Clearance Analysis