Job Description

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- Process, classify, and validate aerial LiDAR and point cloud data
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- Extract and model utility assets, including power lines, conductors, poles, towers, vegetation, and ground features
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- Analyze large-scale spatial and 3D datasets for infrastructure and utility projects
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- Identify and address data-quality issues
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- Work on GIS and LiDAR projects for utility and power infrastructure
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Requirements

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- 1–4 years of experience with LiDAR / point cloud processing
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- Hands‐on experience with point cloud classification and QA/QC
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- Experience working with 3D spatial data
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- Experience with feature extraction from LiDAR data
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- Strong attention to detail and ability to identify data-quality issues
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- Basic/intermediate GIS knowledge
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- Experience with utility, power transmission, or distribution data (Nice to Have)
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- Experience with aerial LiDAR (Nice to Have)
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- Experience working with conductors, poles/towers, vegetation, and ground classes (Nice to Have)
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- Understanding of conductor/catenary modeling and clearance analysis (Nice to Have)
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- Experience with PLS-CADD, TerraSolid/TerraScan,



or MicroStation (Nice to Have)
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- Experience with utility asset modeling or powerline mapping (Nice to Have)
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Core Competencies

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Demonstrates expertise in processing and analyzing aerial LiDAR and point cloud data, with a robust focus on feature extraction and data quality assurance. Proficient in GIS applications related to utility and power infrastructure projects.

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Highest-signal resume keywords

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- LiDAR Processing
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- Point Cloud Classification
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- 3D Spatial Data Analysis
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- GIS Knowledge
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- Utility Asset Modeling
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Hard Skills

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- LiDAR Processing
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- Point Cloud Classification
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- 3D Spatial Data Analysis
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- Feature Extraction
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- Data Quality Assurance
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Soft Skills

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- Attention to Detail
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Industry Keywords

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- Utility Infrastructure
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- Power Transmission
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- Power Distribution
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- Aerial LiDAR
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- Conductor Modeling
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Tools & Technologies

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- PLS-CADD
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- TerraSolid
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- TerraScan
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- MicroStation
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📌 GIS Specialist (New South Wales)
🏢 Jobtailor
📍 New South Wales