Senior GIS Data Transformation Specialist
Devoteam
Una candidatura completa en un minuto
Currículum y carta de presentación personalizados, listos para enviar.
Descripción de la vacante
Devoteam Riyadh is seeking a senior GIS Data Specialist to lead data conversion, cleansing, and QA/QC for utilities and infrastructure datasets. You will work with GIS teams, stakeholders, and clients to ensure data quality and topological integrity in Enterprise GIS environments.
The role emphasizes Esri ArcGIS, ArcGIS Pro, and ETL automation using Python, ModelBuilder, or FME, with a focus on data modeling, validation rules, and delivering reliable enterprise geodatabases.
Formación
- Bachelor’s degree in GIS, Geomatics, Geography, Surveying, Civil Engineering, Computer Science, or a related field.
- 7+ years of hands-on experience in utilities and infrastructure as-built conversion to GIS.
- Experience with ArcGIS and Enterprise Geodatabases.
- Knowledge of GIS topology and network connectivity.
- Experience with Python, ArcGIS ModelBuilder, and/or FME for GIS data transformation and ETL automation.
Responsabilidades
- Convert utilities and infrastructure as-built drawings into structured GIS datasets.
- Validate data quality, topology, and network connectivity.
- Collaborate with GIS teams, stakeholders, and clients to ensure data integrity.
- Develop and automate ETL workflows using Python, ModelBuilder, or FME.
Conocimientos
Educación
Herramientas
Descripción del empleo
Devoteam Riyadh is seeking a senior GIS Data Specialist to lead data conversion, cleansing, and QA/QC for utilities and infrastructure datasets. You will work with GIS teams, stakeholders, and clients to ensure data quality and topological integrity in Enterprise GIS environments.
The role emphasizes Esri ArcGIS, ArcGIS Pro, and ETL automation using Python, ModelBuilder, or FME, with a focus on data modeling, validation rules, and delivering reliable enterprise geodatabases.
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
