GIS Data Engineer

3 days ago

Hyderabad, Telangana, India Zorba AI Full time US$ 90,000 - US$ 1,20,000 per year

Location:
Offshore (Onsite Delivery Model)

Number of Roles:
3

Experience:
5–8 years

Start Date:
Immediate or within 15 days

Employment Type:
Contract / Full-time (as applicable)

Job Overview
We are seeking highly skilled
GIS Data Engineers
with strong expertise in
Python
,
PySpark
, and
geospatial data processing
to support the integration and analysis of spatial datasets. The selected candidates will work on large-scale data engineering projects in a distributed environment, focusing on building pipelines and workflows that support geospatial analytics and visualization.

Key Responsibilities

  • Develop and maintain scalable ETL pipelines using PySpark and Python for processing GIS and spatial datasets
  • Work with large geospatial datasets from various sources (e.g., shapefiles, GeoJSON, raster formats, satellite data)
  • Integrate geospatial data with enterprise systems (e.g., PostgreSQL/PostGIS, Big Data platforms)
  • Optimize queries and data transformations for performance and accuracy
  • Collaborate with data scientists, GIS analysts, and business users to deliver data solutions
  • Implement best practices for data quality, versioning, and lineage in spatial data pipelines
  • Troubleshoot data issues and support production data workflows

Required Skills

  • Strong hands-on experience with PySpark (Apache Spark with Python)
  • Advanced Python programming skills, especially in data handling and automation
  • Experience with geospatial libraries such as GeoPandas, Shapely, Fiona, Rasterio, or GDAL
  • Proficient in working with GIS formats (shapefiles, raster data, GeoTIFFs, KML, etc.)
  • Knowledge of spatial databases like PostGIS or GeoServer
  • Hands-on experience with data lakes, big data processing, and cloud platforms (Azure/AWS/GCP – preferred)
  • Strong understanding of data structures, algorithms, and spatial indexing

Nice To Have

  • Familiarity with MapReduce, Hive, or Databricks
  • Prior experience in geospatial analytics, remote sensing, or urban planning domains
  • Knowledge of DevOps, CI/CD pipelines, and containerization tools (Docker, Kubernetes)

Soft Skills

  • Excellent communication and collaboration abilities
  • Problem-solving mindset and attention to detail
  • Ability to work independently in a client-facing onsite role

Skills: postgis,rasterio,azure,gcp,shapely,fiona,big data platforms,pyspark,gis,geopandas,gdal,aws,python

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