GIS Python Developer

Há 6 dias

Brasília, 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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