GIS Engineer II

2 days ago

Hyderabad, Telangana, India Verisk Analytics Full time ₹ 8,00,000 - ₹ 24,00,000 per year
Responsibilities

  • Contribute to the development of GIS and Remote Sensing inputs for EES models.

  • Prepare and manage large-scale GIS datasets with a focus on accuracy, completeness, and usability.

  • Perform digitization, editing, geo-referencing, re-projection, and raster/vector conversions.

  • Conduct advanced remote sensing tasks such as image classification (supervised/unsupervised), topology validation, and data processing from satellite, aerial, and LiDAR sources.

  • Develop and maintain spatial databases and geospatial repositories for model development.

  • Source, extract, and preprocess elevation, land use/land cover, soil, and infrastructure exposure data from multiple portals and repositories.

  • Perform raster-based spatial analysis and apply advanced geoprocessing techniques to extract relevant model insights.

  • Automate GIS workflows using Python and related libraries for efficiency and repeatability.

  • Collaborate with data scientists and modelers to integrate ML/DL models for building footprint extraction, land use classification, and related geospatial predictions.

  • Interpret, analyze, and validate geospatial results and present them through well-documented reports, maps, charts, and dashboards.

  • Work closely with cross-functional teams to support flood, earthquake, and other risk modeling initiatives.

  • Ensure compliance with industry best practices and internal standards throughout the project lifecycle.

  • Contribute to technical documentation and client-ready deliverables with high quality and professionalism.

Qualifications

Educational Background:

  • M.Tech / M.Sc / B.Tech in Geo-Informatics, Geography, Remote Sensing & GIS, or related fields in Spatial Technologies

Experience:

  • 3–5 years of relevant experience in GIS and Remote Sensing projects

Must-Have skills:

  • Proficient in ArcGIS Desktop, ArcGIS Pro, QGIS, ERDAS Imagine, IDRISI, and Google Earth Pro
  • Familiarity with ArcGIS extensions (Spatial Analyst, 3D Analyst, Image Analyst, Network Analyst)
  • Strong skills in raster processing, remote sensing, and spatial data analytics

  • Solid programming experience in Python, especially using geospatial libraries:

    ArcPy, GDAL, Rasterio, GeoPandas, pyogrio, Fiona, Shapely, PyProj, etc.

  • Good knowledge of SQL and R for spatial queries and data analysis
  • Basic understanding of Machine Learning, Deep Learning, and AI techniques applied to spatial data
  • Experience in designing, developing, and managing geospatial databases
  • Strong communication skills for technical documentation, team collaboration, and presentations
  • Ability to work both independently and collaboratively in a research and development environment
  • Proactive and eager to learn, adapt, and contribute to innovation in catastrophe modeling

Nice-To-Have:

  • Experience with WebGIS and ArcGIS Enterprise
  • Exposure to C#, HTML, CSS, ReactJS, Javascript, PHP/NodeJS, POSTGIS/Geoserver, MATLAB, Power BI, or ProjectPlace
  • Familiarity with geostatistical methods, data mining, and advanced spatial statistics
  • Strong problem-solving and project management skills
  • Interest in catastrophe modeling, insurance, and risk analytics
  • Certifications in GIS/Remote Sensing/Data Science/AI

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