Geospatial Web Application Developer

23 hours ago

India beBeeFullStack Full time ₹ 8,00,000 - ₹ 12,00,000

Geospatial Web Application Developer

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Job Summary: We are seeking a skilled professional to design, develop and maintain geospatial web applications leveraging Python and GIS technologies.

This role involves designing, developing and maintaining scalable, user-friendly solutions that integrate spatial data with front-end and back-end systems.

  • 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.
  • 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.
  • Stay updated with the latest GIS and web development technologies and best practices.
  • 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.
  • Familiarity with database technologies particularly PostgreSQL with PostGIS for geospatial data.
  • Knowledge of RESTful APIs, web services and data integration from various sources.
  • Experience with cloud platforms like Google Cloud Platform (GCP), AWS or Azure for deploying GIS applications.
  • Knowledge of MLOps practices for integrating machine learning models with GIS applications.
  • Experience with containerization e.g. Docker and orchestration e.g. Kubernetes.
  • Understanding of geospatial data formats e.g. GeoJSON, Shapefiles, KML and spatial analysis techniques.

Benefits:

  • Competitive salary.
  • Comprehensive health benefits.
  • Opportunities for professional growth and development.
  • Flexible remote or hybrid work options.

Additional Information:

Please submit your resume and a cover letter detailing your experience with Python, GIS and full stack development.

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