Gis Python Developer
4 semanas atrás
GIS Python Developer (QA/QC Automation – ArcGIS 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 ArcPy or the ArcGIS API for Python) and integrating them into Esri's ArcGIS 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 ArcGIS Workflow Manager:
- Configure and embed QA/QC scripts as automated steps within ArcGIS 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 ArcGIS Pro, ArcGIS Enterprise, and ArcGIS Workflow Manager.
- Experience with ArcPy and/or the ArcGIS 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 (ArcSDE) and enterprise data workflows.
- Exposure to SQL and spatial database management.
- Knowledge of automation frameworks or DevOps 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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