GIS Engineer
2 days ago
Role Overview
We are looking for a passionate
GIS Engineer
to join our AI & Remote Sensing team. You will work on high-resolution satellite image analysis, geospatial data processing, and large-scale spatial database management using modern cloud infrastructure.
You will collaborate with AI/ML engineers, agronomists, and backend developers to design geospatial workflows and serve analytical layers to the Map My Crop platform.
Key Responsibilities
- Develop and optimize geospatial data pipelines for satellite and drone imagery.
- Manage and query PostgreSQL/PostGIS databases handling billions of geospatial records efficiently.
- Deploy and manage GeoServer layers and WMS/WFS services for internal and external APIs.
- Automate preprocessing and analysis of imagery.
- Build and integrate AI/ML for agricultural applications.
- Work with FastAPI to develop geospatial APIs and backend endpoints.
- Implement scalable workflows on AWS (EC2, S3, SageMaker, etc.) for data storage and computation.
- Visualize and validate outputs using QGIS / ArcGIS Pro, ensuring data quality and accuracy.
- Collaborate with the data science team on custom remote sensing indices and feature engineering for crop analytics.
- Support the integration of raster/vector layers into Map My Crop's enterprise platform and dashboards.
Required Skills
- Strong expertise in GIS software: QGIS, ArcGIS, and GeoServer.
- Proficiency in PostgreSQL/PostGIS and spatial SQL queries.
- Experience in remote sensing & satellite image analysis.
- Programming skills in Python (GDAL, rasterio, geopandas).
- Experience building or consuming APIs with FastAPI.
- Familiarity with AWS services – EC2, S3, SageMaker, CloudWatch.
- Knowledge of machine learning / AI models for geospatial or agricultural use cases.
- Understanding of coordinate systems, reprojection, tiling, and raster/vector operations.
- Strong analytical and problem-solving mindset.
Good to Have
- Background in Agriculture, Environmental Science, or Remote Sensing Applications in AgTech.
- Familiarity with Docker, Git, Airflow, or CI/CD pipelines.
- Experience working with large-scale raster mosaics and multi-temporal datasets.
- Basic understanding of JavaScript (Leaflet, Mapbox, or Cesium) for web map integration.
Skills: gis,remote sensing,raster,arcgis
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