ROLE
– Prepare, test and deploy field data collection applications using ArcGIS Survey123 and FieldMaps.
– Perform proper data curation, storage and management of geospatial data for efficient and safe project execution.
– Process and analyze geospatial data for project execution and collaborate with multidisciplinary teams to integrate geospatial insights into project deliverables.
– Conduct satellite/drone/LiDAR image analysis to support ESIAs and environmental studies.
– Prepare maps, reports and visualizations for internal and client use.
– Publish map services following internal procedures.
– Automate processes using Python, ArcPy, Model Builder and ArcPro tasks.
– Follow internal data governance and housekeeping guidelines and practices, as well as industry best practices.
– Analyze, curate, feed and maintain geospatial datasets.
– Perform geospatial analysis in both raster and vector data to identify land use, land cover, urban areas, archaeological features and environmental receptors.

REQUIREMENTS
– Strong knowledge of remote sensing fundamentals and techniques, GIS applications and integrated spatial data collection, management and visualization skills.
– Proficiency in GIS and Remote Sensing software such as ArcGIS Platform, QGIS, Google Earth Engine.
– Ability to obtain, process and interpret remotely sensed imagery and integrate data for environmental studies.
– Attention to detail and problem-solving skills, using interdisciplinary perspectives on how to use spatial data to solve environmental studies challenges.
– Bachelor’s or Master’s degree in Remote Sensing, GIS, Geography, Environmental Science, or related field.
– 3+ years of experience in remote sensing and GIS analysis.
– Proficiency in GIS and remote sensing software, especially in the following ArcGIS Platform tools: Survey123, FieldMaps, ArcGIS Online, ArcGIS Dashboards, Experience Builder, StoryMaps.
– Spatial analysis & cartography skills, including projections/coordinate systems, geoprocessing, spatial statistics and publication-quality cartography.
– Remote sensing science knowledge, including supervised/unsupervised classification, vegetation & water indices and time-series change detection.
– Data governance skills, including strong habits in metadata, naming/versioning, enterprise publishing and design standards-compliant geodatabases.
– Automation & scalability skills, including Python, ArcPy, ModelBuilder and ArcGIS Tasks.
– Communication & consulting skills, including translating technical outputs into clear client-ready insights.