Senior Geospatial Software Engineer

4 days ago

Dehra Dūn, Uttarakhand, India beBeeGeospatial Full time ₹ 9,00,000 - ₹ 12,00,000
Geospatial Developer Opportunity

We are seeking a skilled geospatial professional to join our team and contribute to the design, development, and maintenance of scalable, user-friendly geospatial web applications.

In this role, you will leverage Python and GIS technologies to deliver solutions that integrate spatial data with front-end and back-end systems. You will collaborate with cross-functional teams to ensure seamless functionality and optimal performance.

Responsibilities:

  • Design, develop, and maintain geospatial web applications using Python and frameworks like Django or Flask.
  • 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.
  • Stay updated with the latest GIS and web development technologies and best practices.

Requirements:

  • Master'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.
  • 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 and comprehensive health benefits.
  • Opportunities for professional growth and development.
  • Flexible remote or hybrid work options (location-dependent).

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