Data Analytics Engineer

Role overview

Data Analytics Engineer at Aptiv

Traits We Seek

Responsibilities

• Lead DM&A Team for AWS/Azure/Other HPCs
• Support event extraction and triage for customer-reported and internal issues.
• Analyze vehicle signals and logs (CAN, Ethernet) to identify anomalies and performance concerns.
• Assist in identifying data issues impacting ML model behavior (e.g., noise, missing signals, data drift).
• Support embedded-level triage activities, like ECU log analysis, vehicle communication trace interpretation and Signal-to-algorithm correlation
• Support vehicle instrumentation, logging setup, and data validation.
• Work closely with Algorithm development team, Systems and validation engineers and Project and engineering managers
• Contribute to continuous improvement of data analysis tools and workflows.

Employment details

• Location: Bangalore [Karnātaka] [India]

Application details

• Apply structured problem-solving techniques to support root-cause analysis.

About the employer

• Why Join Aptiv
• Aptiv's winning culture is global by design.
• You make an impact at Aptiv.
• At Aptiv, you are building those solutions every day.
• You have support at Aptiv.
• At Aptiv, we deliver innovative solutions that people trust when it matters most.
• Privacy Notice - Active Candidates: https://www.aptiv.com/privacy-notice-active-candidates
• Aptiv is an equal employment opportunity employer.

Benefits

• We ensure you have the resources and support you need to take care of your family, your physical health, and your mental health with a competitive benefits package.
• Your Benefits
• Life and accident insurance;
• We also drive precision and efficiency in Industrials & Robotics and support life-critical innovation in Medical technologies.

Additional role details

• Your Role
• Data Analytics Engineer
• ROLES AND RESPONSIBILITIES
• Vehicle Data Mining & Analytics
• Perform vehicle data mining and exploratory analysis using Python and data-science tools.
• 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
• Build foundational understanding of how ML models interact with embedded ADAS systems.
• Embedded-Level Debugging & System Understanding
• 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.
• Help ensure collected data meets analysis and validation requirements.
• Collaboration & Process Adherence
• Follow established ADAS V-cycle development, validation, and documentation processes.
• Your Background
• Bachelor’s or Master’s degree in a relevant field, such as: Data Science, Computer Engineering, Electrical / Embedded Systems Engineering and Automotive or Systems Engineering
• 2+ years Experience and proficient in Python, Vehicle Communication protocol – CAN, Ethernet, Data Science Tools with analytics
• Familiar with MATLAB, Machine Learning Algorithms, DBQL/SQL, Linux
• Hands-on experience with vehicle instrumentation
• Proficient in structured problem solving Internal
• Clear understating on Embedded systems fundamentals (ECUs, signals, logs)
• Nice to Haves
• Academic or project experience in AI / Machine Learning, ADAS or autonomous driving systems and Vehicle data analytics
• Exposure to Vehicle communication protocols (CAN, Ethernet), Embedded debugging (logs, traces, signal analysis) and MATLAB, basic C/C++, or signal processing
• Familiarity with Automotive tools such as CANalyzer or CANoe, SIL (Software in the Loop) or simulation environments, Agile / Scrum development practices
• Curious and analytical mindset with strong problem‑solving skills
• Hands‑on learner who enjoys working with real systems and data
• Structured and detail‑oriented approach to analysis
• Collaborative team player open to feedback and mentorship
• Resilient and growth‑focused, viewing challenges as learning opportunities
• You grow at Aptiv.
• We bring together diverse perspectives, cultures, and business contexts to solve our customers' toughest challenges.
• In this environment, every individual can grow, lead, and make an impact, regardless of background, because inclusion fuels how we innovate and win.
• One of the strengths of humanity is our drive to progress, to improve, to achieve more tomorrow than we did yesterday.
• People need solutions they can trust when it matters most.
• Higher Education Opportunities (UDACITY, UDEMY, COURSERA are available for your continuous growth and development);
• Sodexo cards for food and beverages
• Well Being Program that includes regular workshops and networking events;
• EAP Employee Assistance;
• Access to fitness clubs (T&C apply);
• Creche facility for working parents
• Meet the Next-Generation Aptiv
• Progress is never static.
• It is about reaching further, exploring new possibilities, and enabling mobility.
• Aptiv empowers customers to create solutions people rely on—advancing safety and autonomy in Automotive and Commercial Vehicles, enabling mission-critical performance in Aerospace & Defense, and powering intelligent systems across Energy, Enterprise, and Telecommunications.
• Guided by our winning culture and values to Think & Act Like Owners, as One Team, and Play to Win, we turn commitment into results and achieve more together.
• Join Us to Deliver Innovative Solutions That People Trust!
• #LI-PP2
• All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.