neteffects
LATAM and Onshore
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. Key Responsibilities
Develop, test, and maintain
spatial QA/QC checks
for geodatabases and feature datasets.
Automate data validation workflows using
Python ,
ArcPy , and the
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.
All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
#J-18808-Ljbffr
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. Key Responsibilities
Develop, test, and maintain
spatial QA/QC checks
for geodatabases and feature datasets.
Automate data validation workflows using
Python ,
ArcPy , and the
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.
All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
#J-18808-Ljbffr