ADAS Data & Analytics Engineer
Mercedes-Benz Group AGMatch Score
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Job Description
Structured overview of role & requirementsAbout 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.