
Senior Geospatial Development Specialist
1 week ago
Geospatial Web Application Developer Opportunity
We are seeking an experienced developer to join our innovative team.
As a skilled professional in geospatial technologies, you will design and develop web applications that leverage Python and GIS tools to deliver scalable, user-friendly solutions.
Key Responsibilities
- Develop and maintain GIS-based web applications using Python and frameworks like Django or Flask.
- Design and implement interactive, dynamic GIS maps using libraries such as GeoPandas, Shapely, and Folium.
- Integrate geospatial data with databases (e.g., PostgreSQL/PostGIS, MySQL, or MongoDB) and RESTful APIs.
- Automate geospatial data processing workflows using Python libraries like ArcPy, Fiona, or PyQGIS.
- Build responsive front-end interfaces using HTML, CSS, JavaScript, and frameworks like React, Angular, or Vue.js.
- Collaborate with data scientists and GIS analysts to productionize geospatial models and visualizations.
- Optimize applications for performance, scalability, and reliability.
- Troubleshoot and debug issues across the full stack, from front-end interfaces to back-end data pipelines.
- Manage deployment and continuous integration processes using tools like Docker, Kubernetes, or CI/CD pipelines.
Qualifications
- Bachelor's degree in Computer Science, Geographic Information Systems, or a related field (or equivalent experience).
- Proven experience as a Full Stack Developer with strong proficiency in Python.
- Expertise in GIS technologies and Python libraries such as GeoPandas, Shapely, Fiona, ArcPy, or PyQGIS.
- Experience with front-end technologies including HTML, CSS, JavaScript, and frameworks like React, Angular, or Vue.js.
- Familiarity with database technologies, particularly PostgreSQL with PostGIS for geospatial data.
- Knowledge of RESTful APIs, web services, and data integration from various sources.
- Proficiency with version control systems, particularly Git.
- Strong problem-solving skills and attention to detail.
- Excellent communication and teamwork abilities.
Preferred Skills
- Experience with cloud platforms like Google Cloud Platform (GCP), AWS, or Azure for deploying GIS applications.
- Familiarity with ESRI ArcGIS Suite (ArcPro, ArcMap) or QGIS for geospatial analysis.
- Understanding of geospatial data formats (e.g., GeoJSON, Shapefiles, KML) and spatial analysis techniques.
At our company, we create cutting-edge geospatial solutions that drive impactful decision-making. We foster a collaborative and innovative work environment that encourages professional growth and development.
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