Informacje o stanowisku
Geospatial Data Software Engineer
Project description:
Join our Geospatial Business Unit as a Spatial Data / Software Engineer and play a key role in helping our clients implement, optimize, and maintain advanced spatial data processing systems. You will work with both commercial and open-source technologies to build scalable, cloud-based geospatial solutions.
Requirements:
- Strong understanding of spatial data models and best practices in spatial data management
- Proficiency in Python (intermediate level or higher)
- Experience automating spatial data processing using ESRI, FME, or open-source tools
- Experience integrating cloud platforms (Azure, AWS) with GIS environments
- Working knowledge of Jira or Azure DevOps
- Familiarity with data-sharing methodologies and cloud-based architectures
- Knowledge of EO spatiotemporal datasets
- Passion for spatial data and a strong analytical mindset
- Excellent communication skills and a business-oriented approach
- Fluency in English, both written and spoken
Nice to have:
- Experience with ESRI products, including:
- ArcGIS Pro
- ArcGIS Online (Experience Builder, Field Maps, Hub, Map Viewer, Survey123, Workflow Manager)
- ArcGIS Notebooks
- ArcGIS API for Python, arcpy
- Experience managing or administering ArcGIS Online/Portal
- Experience training, fine-tuning, and applying AI models for object detection/inference using satellite, aerial, or drone imagery
Geospatial Data Software Engineer
Project description:
Join our Geospatial Business Unit as a Spatial Data / Software Engineer and play a key role in helping our clients implement, optimize, and maintain advanced spatial data processing systems. You will work with both commercial and open-source technologies to build scalable, cloud-based geospatial solutions.
,[Process and manage geospatial data from diverse sources, including Earth Observation (EO) datasets , Design, develop, and maintain ETL pipelines , Integrate spatial data from multiple external and internal systems , Develop automation solutions to streamline geospatial data workflows , Build cloud-based geospatial applications for web and mobile environments Requirements: Python, Cloud platform, AWS, Azure, Communication skills, ETL, GIS, Esri, Azure DevOps, FME, Jira, AI, ArcGIS Pro, ArcGIS Online, ArcGIS Notebooks Additionally: Sport subscription, Training budget, Private healthcare, Flat structure, International projects, Free coffee, Bike parking, Playroom, Shower, In-house trainings, Modern office, No dress code, Startup atmosphere.
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