ADAS Data & Analytics Engineer
Mercedes-Benz Group AG (company site, opens in a new tab)4–7 yrsBengaluruOn-siteDirect career pageEst. 15–30 LPA
Posted on 28 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end data processing and analytics workflows for ADAS validation using large-scale vehicle data.
- Develop and automate data pipelines and reporting using Python, orchestration tools (Airflow/Flyte), and cloud platforms (preferably GCP/AWS).
- Design and maintain dashboards and KPIs for stakeholders to support decision-making with clear data storytelling.
Minimum Requirements
- 4–7 years of experience in Data Analytics or Data Engineering.
- Bachelor’s or Master’s degree in Computer Science, Electronics, or related field.
- Strong Python skills including Pandas and NumPy; good SQL knowledge (RDBMS/NoSQL basics).
- Experience with cloud platforms (GCP/AWS preferred) and dashboard tools (Power BI, Tableau, Grafana).
Ideal Candidate Profile
- Experienced in handling and analyzing large-scale time-series and event-based ADAS/automotive data.
- Proficient in creating automated workflows and optimizing data pipelines in cloud environments.
- Ability to collaborate closely with validation teams and subject matter experts to continuously improve analytics use cases.