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 clear, 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 effective ways to solve problems.
- Open-minded: comfortable learning new tools, technologies, and approaches quickly.
- Explorer mindset: curious, self-motivated, and not afraid to dig into unfamiliar systems or data.
- Strong communicator and team player who works well in a fast-paced environment.

What you'll gain : What You Will Gain

- Hands-on experience with industry-scale geospatial data processing pipelines.
- Exposure to modern cloud, data engineering, and BI tools used in production environments.
- Mentorship from experienced geospatial and data engineering professionals.
- A strong foundation for a career in geospatial data engineering, GIS analytics, or cloud-based data platforms.

📌 Gis Intern (Pune)
🏢 Tomtom
📍 Pune