GIS Engineer

2 days ago

Pune, Maharashtra, India Map My Crop Full time

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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