Gis python developer

3 semanas atrás


Brasil Aptonet Tempo inteiro

GIS Python Developer (QA/QC Automation – Arc GIS Workflow Manager) Location: 100% Remote Type: Full-Time / Contract About the Role We are looking for a GIS Python Developer to design, develop, and implement automated Quality Assurance and Quality Control (QA/QC) processes for spatial data. The role involves writing Python scripts (primarily using Arc Py or the Arc GIS API for Python ) and integrating them into Esri’s Arc GIS Workflow Manager to streamline and automate GIS data validation across teams. Key Responsibilities Develop QA/QC Scripts: Create and maintain Python scripts to automatically identify and correct spatial data issues such as: Missing or invalid geometry Polygon overlaps or gaps Attribute inconsistencies Coordinate system mismatches Topology and connectivity errors (e.g., roads not connecting properly) Integrate with Arc GIS Workflow Manager: Configure and embed QA/QC scripts as automated steps within Arc GIS Workflow Manager task sequences, enabling: Automatic validation after data edits or updates Flagging and reporting of errors for correction Consistent enforcement of spatial data quality standards Ensure Data Integrity and Compliance: Maintain accuracy, consistency, and traceability of all GIS data edits and updates across the enterprise environment. Collaborate Across Teams: Work closely with GIS analysts, database administrators, and developers to ensure smooth integration, performance optimization, and scalability of QA/QC solutions. Qualifications Bachelor’s degree in Geographic Information Systems (GIS), Computer Science, Geomatics , or a related field. Proven experience in Python scripting for GIS automation . Strong knowledge of Esri technologies , including Arc GIS Pro, Arc GIS Enterprise , and Arc GIS Workflow Manager . Experience with Arc Py and/or the Arc GIS API for Python . Understanding of spatial data models, topology rules, and coordinate systems . Familiarity with data quality management principles (QA/QC) in GIS environments. Strong analytical and problem-solving skills with attention to detail. Excellent communication skills and ability to work in a collaborative environment. Preferred Qualifications Experience with versioned geodatabases (Arc SDE) and enterprise data workflows. Exposure to SQL and spatial database management. Knowledge of automation frameworks or Dev Ops practices within GIS. What You’ll Achieve You’ll play a key role in building a repeatable, automated, and auditable quality-control process for spatial data—ensuring every dataset and map product meets enterprise accuracy standards before publication or approval.


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