FME ETL Engineer / GIS Data Engineer

As a GIS Data Engineer / FME ETL Engineer, you will be responsible for designing, automating, and optimizing geospatial data pipelines for Electric and Gas Utility Networks. Your focus will be on data integration, transformation, and validation using tools like FME, ArcGIS Utility Network, and Python-based data pipelines. Your role will involve handling complex network datasets and ensuring automation, quality, and performance in enterprise GIS systems. **Key Responsibilities:** - Design and develop ETL workflows using FME Desktop / FME Server for large-scale Electric and Gas network datasets. - Integrate data from various sources into standardized enterprise schemas, including ArcGIS, PostGIS, CSV/Excel, and APIs. - Implement data validation, enrichment, and transformation rules aligned with ArcGIS Utility Network models. - Manage coordinate transformations, geometry checks, topology validations, and schema mapping. - Develop parameterized and reusable FME templates for consistent integration processes. - Work with the ArcGIS Utility Network data model for asset data, connectivity, associations, and subnetworks. - Support data migration, synchronization, and QA for UN datasets ensuring schema compliance and topology integrity. - Establish and execute data validation and QA routines for geometric and attribute accuracy. - Mentor junior team members and promote best practices in FME scripting, data governance, and geospatial data automation. **Qualifications Required:** - 3-6 years of experience in GIS data engineering, FME development, or spatial ETL automation. - Strong hands-on experience with FME Desktop / FME Server (Workbench). - Experience working with ArcGIS Utility Network data models (subnetworks, associations, connectivity). - Proficiency in Python (pandas, GeoPandas, Shapely, ArcPy, pyproj) and SQL (PostgreSQL/PostGIS). - Solid understanding of spatial data concepts like coordinate systems, topology rules, geometry validation, etc. - Exposure to Electric and Gas Utility datasets or network asset data management. The job also mentions some desired qualifications like experience with AWS services, familiarity with data quality frameworks, and DevOps skills, along with certifications in Safe Software FME, Esri ArcGIS Utility Network, and AWS Data Engineer / Practitioner. This position offers an exciting opportunity to work on cutting-edge geospatial technologies and make a significant impact on Electric and Gas Utility Networks.,