At Woolpert, you’ll do work that matters.

As a leading global architecture, engineering, and geospatial firm, we help clients solve complex challenges that shape communities, strengthen critical infrastructure, advance technology, and improve the world around us. Here, you’ll collaborate across disciplines, tackle meaningful projects, and build a career defined by growth, opportunity, and impact.

Position Overview

Woolpert is hiring a Lidar Production Analyst to join our team at our Bangalore office.

We are unable to provide visa sponsorship for this position. Applicants must already possess work authorization in the country the job is located.

What You Will Do:

Review, analyze, classify, and edit Topographic LiDAR point cloud data in accordance with established production workflows, project specifications, and quality procedures.
Assist with the creation, maintenance, and delivery of LiDAR point clouds and derivative products under the guidance of Topographic LiDAR Team Leadership.
Develop functional proficiency with Topographic LiDAR production software used to classify, edit, and validate point cloud data.
Visualize and evaluate LiDAR data in 2D and 3D to identify errors, anomalies, and classification issues and apply appropriate editing tools to correct them.
Learn the Topographic LiDAR data organization, production workflows, production/QC checklists, team structure, and established feedback protocols.
Develop familiarity with standard Topographic LiDAR products, including Digital Elevation Models (DEMs) and intensity imagery, and use these products to support data production and QC.
Complete assigned production tasks accurately and efficiently with the goal of meeting quality expectations and minimizing QC rework.
Complete standard LiDAR editing assignments within established production schedules and project deadlines.
Perform QC checks on assigned Topographic LiDAR datasets to verify accuracy, completeness, consistency, and conformance with project specifications.
Learn and apply Woolpert Topographic LiDAR standards, production requirements, workflows, and quality procedures.
Perform other duties as assigned.

What You Will Bring:

Basic working knowledge of geospatial data production, LiDAR technology, coordinate reference systems, map projections, and fundamental spatial data concepts.
Basic proficiency with geospatial and LiDAR production software such as ESRI ArcGIS Pro, MicroStation, TerraScan, and Global Mapper, and the ability to quickly learn comparable software.
Ability to interpret and follow detailed written and verbal instructions, technical specifications, production workflows, and quality procedures.
Strong attention to detail with the ability to identify inconsistencies, errors, and anomalies in geospatial data.
Ability to organize and prioritize assigned tasks while meeting established production schedules and deadlines.
Effective written and verbal communication skills.
Ability to work collaboratively within the Topographic LiDAR production team, incorporate QC feedback, and seek technical direction when needed.
Demonstrated willingness to learn new software, production techniques, workflows, and Woolpert standards.

PREFERRED EDUCATION:

Associate's degree or higher in Geographic Information Systems (GIS), Geography, Geomatics, Surveying, Remote Sensing, Environmental Science, or a related geospatial or technical field preferred.

PREFERRED EXPERIENCE:

One (1) year of experience with GIS, LiDAR, remote sensing, or geospatial data production, including data classification, editing, QC, finalization, and/or spatial database maintenance preferred.
Internship, co-op, military, academic, or project-based experience using ESRI ArcGIS Pro, LiDAR production software, or comparable geospatial technologies.

PREFERRED CERTIFICATIONS, LICENSES, OR TRAINING:

ESRI technical certifications, GIS/LiDAR coursework, remote sensing training, or other relevant geospatial technical training preferred.

PREFERRED KNOWLEDGE, SKILLS & ABILITIES:

Familiarity with spatial data structures, coordinate reference systems, datums, and map projections.