Engineer II, Data Engineering

HARMAN’s engineers and designers are creative, purposeful and agile. As part of this team, you’ll combine your technical expertise with innovative ideas to help drive cutting-edge solutions in the car, enterprise and connected ecosystem. Every day, you will push the boundaries of creative design, and HARMAN is committed to providing you with the opportunities, innovative technologies and resources to build a successful career.

A Career at HARMAN

As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you’ll discover that at HARMAN you can grow, make a difference and be proud of the work you do everyday.

About the Role

You are a passionate AI professional, who is enthusiastic about automotive electronics and wants to define the future in-cabin user experience.

Join our Automotive AI Lab as Data Engineer. Collaborating with global automotive, AI/ML, and MLOps expert teams, you will implement a vehicle software update experience that is compelling for OEM customers, end-consumers, and Harman teams. You will develop, manage, and maintain data engineering (data collection, processing, ETL, etc.) solutions for our Harman products (Over-the-Air OTA update, Connectivity, etc.). Owning the full data pipeline, you will provision your team with large scale vehicle fleet and contextual data in all phases of the product lifecycle.



What You Will Do

· Develop and optimize data engineering solutions for multiple data sources (e.g., vehicles, users, and context information)

· Work together with automotive domain subject matter experts, AI architects, and data scientists to develop data architectures and pipelines

· Identify and integrate data sources including real, synthetic / simulated datasets and data management

· Manage large scale data sets incl. labelling, cataloging, and versioning

· Analyze datasets, create reports and visualizations

What You Need

· Bachelor's degree in computer science or comparable practical experience

· 4 years of industry engineering experience in big data technologies including data engineering and process for extracting value from large datasets from multiple sources

· Demonstrated experience in building and optimizing data pipelines

· Relevant practical experience with big data technologies, AI/ML tech stacks, tool chains, databases, data collection, data tools (e.g. DataBricks, Kafka, Apache Spark, LLMs, Python, Java)

What is Nice to Have

• · Experience working with automotive services or products and domain knowledge (e.g., OTA, Connectivity)
• · Experience in collecting and processing large scale automotive fleet data (raw logs, documents, etc.)
• · Knowledge of Machine learning frameworks like PyTorch, TensorFlow, LangChain

What Makes You Eligible

• · Willingness to travel up to 10%, domestic and international travel

  · Be willing to work in an office or home office in Bengaluru, India

What We Offer

• Flexible work environment, allowing for full-time remote work globally for positions that can be performed outside a HARMAN or customer location
• Access to employee discounts on world-class Harman and Samsung products (JBL, HARMAN Kardon, AKG, etc.)
• Extensive training opportunities through our own HARMAN University
• Competitive wellness benefits
• Tuition Reimbursement
• Access to HARMAN Campus Fitness Center and Cafeteria
• An inclusive and diverse work environment that fosters and encourages professional and personal development

HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.