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Devoteam International in Riyadh seeks a senior GIS Data Conversion & QA specialist to lead transformation of utilities and infrastructure drawings into Enterprise GIS datasets, ensuring accuracy, topology, connectivity, and data integrity.
You will work closely with GIS teams and clients, applying Python, ArcGIS ModelBuilder and/or FME to automate ETL workflows and validate geodatabases, topology rules, and network relationships in enterprise environments.
The ideal candidate will have strong hands-on experience in GIS data conversion cleansing validation and quality assurance with a proven track record in converting utilities and infrastructure as-built drawings and data into structured accurate and topologically valid Enterprise GIS datasets The role will involve working closely with GIS teams technical stakeholders and clients to ensure the quality accuracy connectivity and integrity of enterprise GIS data and support utilities and infrastructure data transformation initiatives
Convert utilities and infrastructure as-built drawings and data into structured GIS datasets. Perform data extraction, transformation, cleansing, and preparation for Enterprise GIS environments. Ensure converted datasets comply with defined GIS data models, standards, and specifications.
Conduct comprehensive GIS data validation and QA/QC activities. Identify and resolve spatial, attribute, topology, and connectivity issues. Ensure GIS datasets meet defined accuracy, completeness, consistency, and quality requirements. Validate network connectivity and applicable spatial and topological rules.
Work with utilities, infrastructure, and land-related GIS datasets. Understand spatial relationships, network structures, and topological behaviors across utility and infrastructure assets. Apply appropriate validation and connectivity rules to ensure data integrity. Support the development and maintenance of reliable Enterprise GIS datasets.
Work extensively with the Esri ArcGIS ecosystem, particularly ArcGIS Pro and Enterprise Geodatabases. Support the development and implementation of enterprise geodatabase structures. Work with feature classes, relationships, domains, subtypes, topology, and network-related data structures. Ensure GIS data is properly structured and maintained according to enterprise requirements.
Develop and automate GIS data transformation and ETL workflows using Python, ArcGIS ModelBuilder, and/or FME. Identify opportunities to improve GIS data conversion, validation, and QA/QC processes. Support the optimization and standardization of GIS data management workflows.