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.
Solid 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 strong 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
Tools & Technologies
PLS-CADD
TerraSolid
TerraScan
MicroStation
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📌 Gis Specialist (Gold Coast)
🏢 Jobtailor
📍 Gold Coast