Overview 
Title: Python & GIS Developer 
Location: LATAM 
We are seeking a GIS Analyst  with strong Python development skills  to design, implement, and automate spatial QA/QC (Quality Assurance/Quality Control)  processes.
The ideal candidate will have experience developing and maintaining geospatial data validation tools using ArcPy  and the ArcGIS API for Python  within an enterprise GIS environment.
Responsibilities 
- Develop, test, and maintain spatial QA/QC checks  for geodatabases and feature datasets.
 
 
- Automate data validation workflows using Python , ArcPy , and ArcGIS API for Python .
 
 
- Build and optimize scripts for data integrity, geometry validation, and topology checks .
 
 
- Collaborate with GIS teams, data engineers, and analysts to identify and correct spatial data issues.
 
 
- Integrate QA/QC scripts into ArcGIS Enterprise  and ArcGIS Online  environments.
 
 
- Support data migration and transformation tasks across multiple spatial data formats and coordinate systems.
 
 
- Create documentation, version control (Git), and maintain reusable Python modules and tools.
 
 
Required Qualifications 
- Bachelor’s degree in Geographic Information Systems (GIS) , Computer Science , Geography , or a related field.
 
 
- 3+  years of professional experience in GIS analysis and data management.
 
 
- Strong proficiency in Python  with practical experience using ArcPy  and the ArcGIS API for Python .
 
 
- Experience with spatial data QA/QC , validation scripting, and workflow automation.
 
 
- Hands-on experience with ArcGIS Pro , ArcGIS Enterprise/Online , and geodatabase management .
 
 
- Familiarity with data models , coordinate systems , and geoprocessing tools .
 
 
- Excellent analytical, problem-solving, and communication skills.
 
 
Preferred Qualifications 
- Experience with pandas , NumPy , or GeoPandas  for spatial data manipulation.
 
 
- Knowledge of REST APIs  and web-based GIS integration .
 
 
- Experience with FME , SQL , or PostGIS .
 
 
- Familiarity with version control (Git/GitHub)  and Agile project workflows.
 
 
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