Planetskool is a Research Based Educational Organization. Seeking a Kindergarten teacher, open to research based new curriculum development, content development and working with a selected kids on a regular basis. Work also involves travel to different schools and conduct workshops, conducting online workshops and participating in research activities with other members of team. You will get exposure to the best practices of 0-6 age group, and should be up to learn on the way and inculcate the new findings into the educational activities. Experience with 0-6 years old child psychology, activities, music, singing, multiple languages a plus.

Job Title: Geoinformatics Engineer - Digital Earth Twin (On-Site) Department: Geo-Spatial Engineering / R&D Location: On-site - Sonipat Why this role exists We are building a high-fidelity digital twin of Earth that fuses real-time and archival data from NASA, ISRO, ESA, commercial constellations, IoT feeds, and in-house sensors. You will be the technical anchor who transforms raw geospatial big data into an interactive 3-D globe powered by Cesium for Unreal and served to analysts, modelers, and decision-makers across domains. 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.