Advanced Geospatial Software Engineer

4 days ago

Vellore, Tamil Nadu, India beBeePython Full time ₹ 25,00,000 - ₹ 42,00,000

Job Opportunity

We are seeking an experienced Python GIS Developer to join our team.

Key Responsibilities:

  • Design and develop geospatial web applications using Python and GIS technologies such as GeoPandas, Shapely, and Folium.
  • Collaborate with cross-functional teams to integrate spatial data with front-end and back-end systems ensuring seamless functionality and optimal performance.
  • Develop interactive dynamic GIS maps using various libraries and frameworks.
  • Integrate geospatial data with databases and RESTful APIs.
  • Automate geospatial data processing workflows using 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.

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.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.

Preferred Skills:

  • Experience with cloud platforms like Google Cloud Platform, 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.
  • Understanding of geospatial data formats e.g. GeoJSON, Shapefiles, KML and spatial analysis techniques.

Why Choose This Role?

This is an exciting opportunity to work on cutting-edge GIS projects and contribute to the development of innovative geospatial solutions. As a key member of our team, you will have the chance to collaborate with experienced professionals and expand your skills in GIS technologies and software development.

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