The GeoSpatial Engineer MAP will design implement and optimize geospatial data solutions that support mapping products and analytics for an international organization. The role involves building Python based geospatial pipelines integrating spatial datasets and enabling accurate visual insights for business users while working in a hybrid day shift model.
Responsibilities
- Develop high quality Python based geospatial workflows that process transform and validate spatial datasets for enterprise mapping solutions
- Design robust geospatial data models that improve spatial analysis accuracy and enable consistent mapping outputs across business units
- Implement automated data ingestion routines that collect spatial data from multiple internal and external sources and standardize them for downstream use
- Optimize spatial query performance in geospatial databases so that analytical dashboards and maps respond efficiently for global users
- Build reusable Python modules that encapsulate core geospatial functions to reduce duplication and improve maintainability of mapping services
- Collaborate with product and domain teams to translate location based business needs into explicit geospatial engineering tasks and technical solutions
- Create detailed geoprocessing workflows that support routing analysis site selection and territory planning for various business scenarios
- Integrate geospatial services with enterprise applications so that maps and spatial analytics can be embedded into existing digital products
- Implement rigorous data quality checks that detect spatial inconsistencies missing attributes and topology errors to maintain trust in mapping outputs
- Develop monitoring scripts that track performance of geospatial services and automate alerts when processing time or data freshness thresholds are breached
- Document geospatial architectures workflows and coding standards thoroughly so that teams can easily understand maintain and extend existing sol