Your Role
Sr. Data Analytics Engineer
ROLES AND RESPONSIBILITIES
Vehicle Data Mining & Analytics
Lead DM&A; Team for AWS/Azure/Other HPCs
Perform vehicle data mining and exploratory analysis using Python and data-science tools.
Support event extraction and triage for customer-reported and internal issues.
Analyze vehicle signals and logs (CAN, Ethernet) to identify anomalies and performance concerns.
Apply structured problem-solving techniques to support root-cause analysis.
AI / Machine Learning Support
Support AI/ML validation workflows for ADAS features, including; Dataset exploration and quality assessment, feature analysis and labeling support and review of basic ML performance metrics
Assist in identifying data issues impacting ML model behavior (e.g., noise, missing signals, data drift).
Build foundational understanding of how ML models interact with embedded ADAS systems.
Embedded-Level Debugging & System Understanding
Support embedded-level triage activities, like ECU log analysis,



vehicle communication trace interpretation and Signal-to-algorithm correlation
Assist in debugging issues that span vehicle sensors, embedded software, and analytics outputs.
Learn ADAS system architecture and data flow from sensor → ECU → analytics → validation.
Vehicle Testing & Data Collection
Participate in hands-on vehicle testing and data collection under guidance of senior engineers.
Support vehicle instrumentation, logging setup, and data validation.
Help ensure collected data meets analysis and validation requirements.

Collaboration & Process Adherence
Work closely with Algorithm development team, Systems and validation engineers and Project and engineering managers
Follow established ADAS V-cycle development, validation, and documentation processes.
Contribute to continuous improvement of data analysis tools and workflows.

Your Background
Bachelor’s or Master’s degree in a relevant field, such as: Data Science, Computer Engin

📌 Senior Data Analytics Engineer Bengaluru
🏢 Aptiv
📍 Bengaluru