Job Summary
The Automated Data Processing team at TomTom builds and maintains scalable, cloud-based pipelines that transform raw geospatial data into high-quality map products. We combine geospatial engineering with modern data platforms and emerging AI-driven automation to continuously improve accuracy, speed, and coverage of our data.
What you'll do:
- Support the automated data processing pipeline for geospatial datasets, assisting with data validation, quality checks, and issue resolution.
- Work with structured and spatial data stored in Postgres/PostGIS databases to query, analyze, and troubleshoot data.
- Explore and support use cases involving AWS cloud services for data storage, processing, and pipeline execution.
- Contribute to data exploration and transformation tasks using Databricks.
- Document processes, requirements, and findings in transparent, structured reports to support knowledge sharing and stakeholder communication — a core business-analyst skill applicable across technical and geospatial domains.
- Collaborate with cross-functional teams (GIS Engineers and Production Engineers) to understand data requirements and pipeline goals.
What you'll need:
- Bachelor's or Master's degree (completed or in final year) in Geoinformatics, GIS, Geography, Computer Science (BCS), or a related technical/analytical field.
- Basic understanding of geospatial concepts, including coordinate systems, spatial data formats (Shapefile, GeoJSON, etc.), and map data structures.
- Introductory-level familiarity with cloud computing concepts, ideally AWS basics (storage, compute services).
- Basic to moderate SQL querying skills with PostgreSQL/PostGIS.
- Good-to-have, basic exposure to Databricks notebooks and data processing.
- Basic to moderate exposure to Power BI dashboard and report building.
Basic programming/scripting knowledge (Python preferred) is a plus
Key attributes:
- Innovative: enjoy finding smarter, more efficient ways to solve problems.
- Open-minded: co
📌 Gis Intern (Pune)
🏢 Tomtom
📍 Pune