Geoinformatics Engineer, Digital Earth Twin (On-Site)

Job Title:

Why this role exists

digital twin of Earth

What youll do

• 3-D Earth-Twin Engineering

  ingest multi-resolution imagery, DEMs, and vector layers; texture and stream them into Unreal + Cesium; optimize LOD, tiling, and photogrammetry workflows.

• Spatial Data Science & Pipelines

  design ETL pipelines (Python + Spark/Dask) that clean, convert, and enrich TB-scale raster & point-cloud datasets; automate with Airflow/Luigi.

• GIS Application Development

  – build analytic tools & plugins in QGIS, Bhuvan 3D, Google Earth Engine, and custom web-GL viewers; expose REST/OGC services and GraphQL endpoints

• Programming & Scripting

  – write production-grade Python (PyProj, GeoPandas, Rasterio, GDAL, CesiumJS), C++ Blueprints in Unreal, and occasional JavaScript for Cesium front-end tweaks.

• Collaboration & Documentation

  – partner with remote-sensing scientists, DevOps engineers, product managers; author design docs, RFCs, and user guides; mentor junior Geo-devs.

Must-have qualifications

• 3–6 years

  professional experience in geoinformatics, GIS software development, or 3-D geospatial visualization.
• Hands-on mastery of

  QGIS, Cesium (JS & for Unreal), Google Earth / Earth Engine, and ISRO’s Bhuvan 3D

  ecosystem.

• Python for spatial data science

  —GeoPandas, Rasterio, Shapely, PyProj, GDAL, PostGIS/PGRouting; comfortable with distributed compute (Spark, Dask, or Ray).
• Proven work on

  digital twins, 3-D city/planet models, or game-engine-based GIS

  (Unreal Engine and/or NVIDIA Omniverse).
• Experience integrating

  satellite/remote-sensing data

  (NASA’s Landsat & MODIS, ISRO’s CartoSAT & Resourcesat, Copernicus Sentinel, LiDAR, SAR).
• Solid grasp of

  map projections, CRS transformations, tiling schemes, OGC standards (WMS/WFS/WCS/3D Tiles)

  .
• Version control (Git), CI/CD basics, Linux shell fluency, and Agile/Scrum participation.
  

Nice-to-have skills

• Cloud-native geospatial stack: AWS S3 + Lambda, Google Cloud Storage + BigQuery GIS, or Azure Maps.
• Real-time data streaming (Kafka, MQTT) and time-series databases (InfluxDB, Timescale).
• GPU acceleration (CUDA, Vulkan) or point-cloud engines (Potree, entwine).
• Basic ML/AI for feature extraction (CNN, segmentation) using TensorFlow/PyTorch.
• Knowledge of C++ gameplay programming, blueprint scripting best practices, and performance profiling in Unreal.
  

Foundational knowledge expected from any Geoinformatics Engineer

• Geodesy & survey fundamentals

  : ellipsoids, geoids, datum transformations.

• Photogrammetry & LiDAR principles

  : bundle adjustment, point-cloud classification.

• Spatial statistics & analytics

  : kriging, hotspot analysis, network analysis.

• Cartographic design

  : color theory, symbology, scale, annotation.

• Remote-sensing basics

  : spectral indices, radiometric correction, atmospheric correction.

• Database design

  for spatial data: indexing (R-Tree), topology rules, and ACID vs. eventual consistency trade-offs.