GIS Python Developer

4 semanas atrás

Brasil Aptonet Tempo inteiro

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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