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GIS Python Developer

GIS Python Developer

Aptonetponta grossa, Brasil
Há 13 dias
Descrição da vaga

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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