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3.0 - 8.0 years

2 - 7 Lacs

Bengaluru

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Job Summary: We are looking for a highly experienced LiDAR Engineer/ Senior LiDAR Engineer to lead the processing, analysis, and interpretation of LiDAR data for high-impact projects. The ideal candidate will bring deep technical expertise in LiDAR systems, 3D point cloud processing, and geospatial data integration to support decision- making in engineering, infrastructure, and remote sensing applications. Key Responsibilities: • Lead the end-to-end processing of airborne, terrestrial, and mobile LiDAR datasets • Perform quality control (QA/QC) and validation of LiDAR-derived products • Develop automated workflows for point cloud classification, feature extraction, and surface modelling • Integrate LiDAR with GIS, imagery, CAD, and other geospatial datasets • Support the development of digital terrain models (DTM), digital surface models (DSM), and 3D mapping products • Optimize and manage large-scale geospatial data storage and delivery solutions • Collaborate with managers, GIS specialists to ensure data accuracy • Mentor junior LiDAR engineers and provide technical support inside the team. Qualifications: Required: • Bachelors or Masters degree in Geomatics, Remote Sensing, Civil Engineering, Geography, or related field • 3+ years of experience in LiDAR data processing and 3D geospatial analytics • Proficiency with tools such as Microstation connect edition, TerraScan, LAStools, Global Mapper • Strong understanding of coordinate systems, geodesy, and geospatial data standards • Familiarity with GIS software (ArcGIS, QGIS) and 3D visualization platforms Preferred: • Experience with LiDAR for transportation, utility, forestry, or autonomous systems • Knowledge of photogrammetry, radar, or multispectral imagery integration • Familiarity with cloud platforms for LiDAR data management (e.g., AWS, Google Earth Engine) Soft Skills: • Excellent problem-solving and critical-thinking skills • Strong communication and leadership abilities • Proven ability to manage technical tasks across multiple projects • High attention to detail and quality assurance

Posted 1 week ago

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3.0 - 8.0 years

10 - 13 Lacs

Chennai

Work from Office

Role & responsibilities LiDAR Data Processing Process raw LiDAR data from ALS (Airborne LiDAR Survey) and MLS (Mobile LiDAR Survey) projects. Perform point cloud classification, editing, and feature extraction. Tool Utilization Use software like TerraScan , TerraMatch , and TerraPhoto within MicroStation V8i or Connected Edition for calibration, alignment, and data refinement. QA/QC and Data Validation Conduct detailed QA/QC checks to ensure accuracy and consistency of the processed data. Validate project deliverables such as DTM (Digital Terrain Models) , DSM (Digital Surface Models) , Contours , and Orthophotos . Project Coordination Collaborate closely with project managers, survey teams, and GIS professionals. Review and interpret project specifications and technical documentation. Deliverables Preparation Generate high-quality geospatial outputs in compliance with client and industry standards (ASPRS, LAS/LAZ). Ensure timely delivery of data and outputs as per project timelines. Workflow Optimization Troubleshoot technical issues and optimize workflows for enhanced processing efficiency. Suggest and implement improvements to data processing techniques and methodologies. Preferred candidate profile Educational Qualification : Diploma or Bachelor's Degree in Civil Engineering , Geomatics , Geoinformatics , or related disciplines. Experience Required : 3 to 8 years of hands-on experience in LiDAR data processing (preferably both ALS and MLS projects). Technical Skills : Proficient in: MicroStation V8i / CONNECT Edition TerraScan TerraMatch TerraPhoto Familiar with: GIS tools like ArcGIS or QGIS Handling and managing large-scale geospatial datasets Knowledge Areas : Understanding of LiDAR data formats and standards (ASPRS, LAS/LAZ) Knowledge of point cloud classification , georeferencing, and accuracy checks Other Attributes : Strong analytical and problem-solving skills Attention to detail and quality-focused mindset Ability to work collaboratively in a team environment Effective time management to handle multiple projects and meet deadlines

Posted 1 month ago

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2.0 - 7.0 years

2 - 5 Lacs

Hassan

Work from Office

1. Experience in LiDAR ground classification and Advanced classification. 2. Powerline classification will be preferred. 3. 2 to 7 years experience.professionals of 4. Location: Hassan 5. Tools; Microstation connect edition, Terra Model and Terra scan Note: We are not looking for Data annotation experienced people.

Posted 1 month ago

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