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Tao Digital - GIS Data Engineer

Tao Digital - GIS Data Engineer

Tao Digital India Private LimitedIndia
9 days ago
Job description

We are looking for an experienced GIS Data Engineer (6+ years) who can architect and implement large-scale geospatial data pipelines. The ideal candidate will bring solid expertise in Spark / Glue / EMR, geospatial formats, and AWS data services to support ingestion, transformation, and optimization of complex GIS datasets.

Key Responsibilities :

  • Design and implement end-to-end data pipelines for GIS datasets.
  • Build ingestion & validation frameworks to handle schema drift, standardization, quarantine, and data quality auditing.
  • Transform geospatial data into GeoParquet and load into Aurora / PostGIS using DMS or equivalent approaches.
  • Automate schema management, data lineage, and dataset discovery with AWS Glue Catalog.
  • Optimize pipelines for scalability, performance, cost efficiency, and reusability.
  • Collaborate closely with geospatial analysts and data science teams for production-ready GIS solutions.
  • Develop IaC templates using Terraform / YAML / JSON for consistent deployments.
  • Ensure best practices in security, governance, and monitoring for data pipelines.

Required Skills & Expertise :

  • 6+ years of proven experience in Data Engineering, ETL / ELT pipeline development.
  • Strong programming skills in Python or Scala, with hands-on Spark development.
  • Deep knowledge of AWS services : S3, Glue, EMR, Athena, Aurora, DMS, Lambda.
  • Experience working with geospatial datasets and formats (Shapefile, GeoJSON, Parquet, GeoParquet).
  • Strong understanding of data lake / lakehouse architectures.
  • Hands-on with Infrastructure as Code (Terraform).
  • Proficiency with schema evolution, governance, metadata management, and data audits.

    • Preferred Background :

  • Experience in Geospatial Data Engineering, handling large-scale spatial datasets.
  • Familiarity with PostGIS spatial queries, geometry operations, and indexing strategies.
  • Exposure to DevOps, CI / CD pipelines, and monitoring solutions (e.g., CloudWatch).
  • Strong problem-solving mindset with ability to work in fast-paced, agile environments.

    • Why Join Us?

  • Cutting-edge exposure to geospatial data engineering at scale.
  • Collaborative, innovation-driven, and growth-focused work culture.
  • Flexible work location across major Indian cities (Delhi, Gurgaon, Bangalore, Pune, Hyderabad).
  • Competitive compensation & benefits package.
  • Opportunity to work with global clients and large-scale datasets.

    • (ref : hirist.tech)

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