Senior Data Analytics Engineer - Python, CAN, SQL

Overview

Senior Data Analytics Engineer supporting vehicle data mining, ADAS validation, embedded debugging, and vehicle testing. The role uses Python and vehicle communication data to analyze signals, logs, anomalies, and machine-learning workflows.

What you'll do

• Lead data mining and exploratory analysis for vehicle data.
• Analyze CAN and Ethernet signals and logs to identify anomalies.
• Support event extraction, issue triage, and root-cause analysis.
• Support dataset assessment, feature analysis, labeling, and ML metric reviews.
• Interpret ECU logs and vehicle communication traces during debugging.
• Participate in vehicle testing, instrumentation, logging setup, and data validation.
• Contribute to ADAS analysis tools, workflows, validation, and documentation processes.

What you'll need

• 6–8 years of experience.
• Bachelor’s or Master’s degree in a relevant field.
• Proficiency in Python, CAN, Ethernet, and data-science analytics tools.
• Familiarity with MATLAB, machine-learning algorithms, DBQL/SQL, and Linux.
• Hands-on experience with vehicle instrumentation.
• Structured problem-solving skills and understanding of embedded systems, ECUs, signals, and logs.

Nice to have

• Academic or project experience in AI/ML, ADAS, autonomous driving, or vehicle data analytics.
• Experience with embedded debugging, basic C/C++, signal processing, CANalyzer, CANoe, SIL, or simulation environments.
• Familiarity with Agile/Scrum development practices.

Details

• Location: Bangalore, Karnataka, India.