Senior Geospatial Technology Engineer

5 days ago

Mumbai, Maharashtra, India beBeeDeveloper Full time ₹ 25,00,000 - ₹ 40,00,000

**Geospatial Developer Position Overview**

We are seeking a skilled developer to join our team. In this role, you will design and develop geospatial web applications leveraging Python technologies to deliver scalable user-friendly solutions.

Experience:

  • 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 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**

The ideal candidate will possess:

  • 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**

Our organization offers:

  • Competitive salary and comprehensive health benefits.
  • Opportunities for professional growth and development.
  • Collaborative and innovative work environment.
  • Flexible remote or hybrid work options location-dependent.

**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.
  • Understanding of geospatial data formats e.g. GeoJSON Shapefiles KML and spatial analysis techniques.

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