Senior GIS Application Developer

3 days ago

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

We are seeking a skilled professional to join our innovative team as a Python GIS Full Stack Developer. In this role, you will design and develop geospatial web applications leveraging Python and GIS technologies to deliver scalable, user-friendly solutions.

This is an exciting opportunity for a detail-oriented individual who can work collaboratively with cross-functional teams to integrate spatial data with front-end and back-end systems, ensuring seamless functionality and optimal performance.

The ideal candidate will have experience in developing and maintaining GIS-based web applications using Python and frameworks like Django or Flask, designing and implementing interactive, dynamic GIS maps using libraries such as GeoPandas, Shapely, and Folium, and integrating geospatial data with databases (e.g., PostgreSQL/PostGIS, MySQL, or MongoDB) and RESTful APIs.

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.
Requirements:
  • 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.
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.
  • Knowledge of MLOps practices for integrating machine learning models with GIS applications.
  • Experience with containerization (e.g., Docker) and orchestration (e.g., Kubernetes).
What We Offer:
  • Competitive salary and comprehensive health benefits.
  • Opportunities for professional growth and development.
  • Collaborative and innovative work environment.

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