LiDAR Specialist

Aviso de fuente externaen Strider

馃嚚馃嚧 馃嚥馃嚱 Exclusive to candidates based in Colombia and Mexico RequirementsMust-haves1+ years of professional experienceLiDAR experienceExperience working with terrestrial (ground-based)...

Fuente externa - sin verificarhace 5 d铆asVigente hasta: 6 oct 2026

Salario

No especificado

Ubicaci贸n

Mexico City, Mexico

Tipo de empleo

Tiempo completo

Modalidad

No especificado

LiDAR Specialist

Mexico City, Mexico

Descripci贸n del empleo

馃嚚馃嚧 馃嚥馃嚱 Exclusive to candidates based in Colombia and Mexico
RequirementsMust-haves1+ years of professional experienceLiDAR experienceExperience working with terrestrial (ground-based) LiDAR dataFamiliarity with geospatial surveysExperience with GIS (e.g., ArcGIS Pro, ArcGIS, QGIS)Ability to validate spatial datasets with strong attention to detailDeep knowledge of geospatial data concepts and coordinate systemsBachelor's degree in Geography, Geospatial Sciences, GIS, Civil Engineering, Computer Science, or equivalentStrong communication skills in both spoken and written English
Nice-to-havesStartup experienceExperience with Python scripting and SQLExperience supporting transportation, roadway, infrastructure, utilities, or smart city projectsExperience with digital twins or geospatial databasesBackground in transportation, smart cities, civil engineering, roadway infrastructure, utilities, geospatial technology, GIS consulting, or mapping technology
What you will work onProcess and analyze LiDAR datasets captured on roadway scanning projectsBuild and validate high-precision geospatial surveys that underpin the client's digital twin platformCreate the foundational geospatial datasets that power the platformManage geospatial data in GIS software (e.g., ArcGIS Pro, ArcGIS, QGIS)Validate, process, and analyze LiDAR and GIS data to build digital representations of roadway infrastructure for new transportation clientsSupport the integration of LiDAR data with transportation datasets (e.g., crash data, roadway information)Safeguard geospatial data quality, consistency, and accuracyApply Python or SQL to support data processing and automationPartner with data engineers and product teams throughout customer onboarding

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