Job summary
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 clear 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 solutions
Collaborate with security and compliance teams to ensure that geospatial data handling aligns with regulatory expectations and company policies
Contribute to innovation initiatives by evaluating emerging geospatial tools and Python libraries that can enhance map accuracy and analytical capabilities
Qualifications
Demonstrate strong proficiency in Python including experience with core libraries that support data processing automation and integration activities
Exhibit hands on experience with geospatial concepts such as projections coordinate reference systems spatial joins and topology rules applied in real projects
Apply practical knowledge of geospatial tools or frameworks such as GIS platforms or spatial databases to design scalable location based solutions
Bring experience in handling medium to large spatial datasets and optimizing data pipelines so that geospatial processing remains reliable under production loads
Use sound understanding of software engineering practices such as version control testing and code review to maintain high quality geospatial codebases
Communicate clearly with multidisciplinary stakeholders to explain geospatial findings map outputs and technical constraints in accessible language
Leverage experience in working within hybrid teams and day shift schedules to collaborate effectively across onsite and remote colleagues in an international environment
