Senior Geospatial Software Engineer

3 days ago

Ghaziabad, Uttar Pradesh, India beBeeDeveloper Full time ₹ 25,00,000 - ₹ 40,00,000
Job Description

Our innovative team seeks a skilled GIS Developer to create scalable, user-friendly geospatial web applications.

This role requires designing and developing GIS-based web applications using Python frameworks like Django or Flask. The ideal candidate will design and implement interactive, dynamic GIS maps using libraries such as GeoPandas, Shapely, and Folium.

Required Skills and Qualifications
  • Proficiency in Python programming language with experience in geospatial technologies.
  • Experience in designing and implementing GIS-based web applications.
  • Knowledge of databases (e.g., PostgreSQL/PostGIS, MySQL, or MongoDB) and RESTful APIs.
  • Ability to automate geospatial data processing workflows using Python libraries like ArcPy, Fiona, or PyQGIS.
  • Strong understanding of front-end development with HTML, CSS, JavaScript, and frameworks like React, Angular, or Vue.js.
Benefits

As a member of our innovative team, you will have the opportunity to work collaboratively with cross-functional teams to integrate spatial data with front-end and back-end systems. You will be responsible for optimizing applications for performance, scalability, and reliability, as well as troubleshooting and debugging issues across the full stack.

We are looking for a motivated individual who is passionate about geospatial technologies and has a strong desire to learn and grow with our company.

In this role, you will be working with cutting-edge technologies and tools to deliver high-quality solutions that meet the needs of our clients.

Responsibilities include:

  1. Developing and maintaining GIS-based web applications using Python and frameworks like Django or Flask.
  2. Designing and implementing interactive, dynamic GIS maps using libraries such as GeoPandas, Shapely, and Folium.
  3. Integrating geospatial data with databases (e.g., PostgreSQL/PostGIS, MySQL, or MongoDB) and RESTful APIs.
  4. Automating geospatial data processing workflows using Python libraries like ArcPy, Fiona, or PyQGIS.
  5. Building responsive front-end interfaces using HTML, CSS, JavaScript, and frameworks like React, Angular, or Vue.js.

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