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 through QA/QC activities.
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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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- Solid attention to detail and ability to identify data-quality issues.
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- Basic/intermediate GIS knowledge.
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- Nice to have: Experience with utility, power transmission, or distribution data.
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- Nice to have: Experience with aerial LiDAR.
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- Nice to have: Experience working with conductors, poles/towers, vegetation, and ground classes.
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- Nice to have: Understanding of conductor/catenary modeling and clearance analysis.
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- Nice to have: Experience with PLS-CADD, TerraSolid/TerraScan, or MicroStation.
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- Nice to have: Experience with utility asset modeling or powerline mapping.
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Core Competencies

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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.

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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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- QA/QC Experience
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- 3D Spatial Data Analysis
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- GIS Knowledge
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Hard Skills

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

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- Attention to Detail
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Industry Keywords

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- Utility Data
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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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- Clearance Analysis
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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 (City of Gold Coast)
🏢 Jobtailor
📍 City of Gold Coast