Tao Digital - GIS Data Engineer

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.