GIS Data Engineer (Python + PySpark)

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