Senior Geospatial Web Application Developer

2 weeks ago

Dindigul, Tamil Nadu, India beBeeGeospatial Full time ₹ 25,000 - ₹ 4,00,000
Python GIS Full Stack Developer Position

We are seeking a highly skilled Python GIS Full Stack Developer to lead our team in designing, developing, and maintaining geospatial web applications. In this role, you will utilize your expertise in Python and GIS technologies to deliver scalable, user-friendly solutions that seamlessly integrate spatial data with front-end and back-end systems.

Key Responsibilities:

  • Design and develop GIS-based web applications using Python and frameworks like Django or Flask.
  • Create 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.

Required Skills and 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.

Benefits:

  • Opportunity to work on cutting-edge geospatial projects.
  • Collaborative and innovative work environment.
  • Professional growth and development opportunities.

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