What's the role?

The Sr. Quality Engineer will advance the maturity of quality engineering practices by applying spatial data engineering techniques to validate data quality across extraction, transformation, and loading stages using automated geospatial workflows. Key responsibilities include supporting and extending workflows for testing and validation purposes. Partner with Data Science teams for the development of geospatial machine‑learning models for advanced quality evaluation in accordance with SD/HD Map specifications.

Main Responsibilities
Technical Subject Matter Expert (SME) for spatial data models and automated geospatial quality-testing methodologies adhering to SD/HD map specifications
Plan, schedule, and oversee automated data annotation, spatial integrity checks, and validation tasks aligned with Product Testing frameworks and evolving testing requirements.
Implement, and optimize automated QA pipelines using geospatial processing frameworks.




Integrating machine learning–powered validation signals by collaborating with Data Science to integrate outputs from spatial ML models for anomaly detection, classification, feature validation, and predictive quality scoring.
Integrate and validate API d‑riven ingestion processes within the quality framework including JSON/XML parsing, schema validation, and automated integration with internal and external data sources.
Lead continuous improvement efforts of system inefficiencies via root cause‑ analyses, and engineering enhancement to improve automation efficiency in testing workflows.
Develop, document, and enforce technical testing procedures, ensuring consistency, repeatability, and compliance across global teams and distributed test settings.
Provide technical training and mentorship to internal and external contributors on advanced scripting, automation tools, geospatial processing techniques, and cloud based validation workflows.

Who are you?
Bachelor’s degree required; GIS/Geogr

📌 Sr Quality Engineer Mumbai
🏢 HERE
📍 Mumbai