Advanced Engineer – Automotive Data Engineering

Introduction: A Career at HARMAN Automotive

Were a global multi-disciplinary team thats putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive we give you the keys to fast-track your career.

• Engineer audio systems and integrated technology platforms that augment the driving experience
• Combine ingenuity in-depth research and a spirit of collaboration with design and engineering excellence
• Advance in-vehicle infotainment safety efficiency and enjoyment

About the Role

As a Data Engineer on the Innovation Team you will design and build an end-to-end audio data collection and consumption platform that enables advanced analytics audio information retrieval and personalization capabilities across the Car Audio Division.Y ou will establish standardized secure and scalable pipelines to collect curate and govern data from internal engineering systems companion applications and connected vehicle telemetry. You will collaborate closely with Data Scientists ML Engineers Embedded/DSP Engineers and Audio Experts to ensure high-quality data products are consistently available for experimentation training validation analysis and production monitoringwhile meeting strict privacy security reliability and automotive compliance requirements. You will also serve as a platform consultant advising other departments on data architecture data contracts ingestion design and downstream consumption while ensuring adherence to strict privacy safety and reliability standards.

What You Will Do

• Design and implement standardized data ingestion frameworks for batch and streaming sources (internal databases userpreference data vehicle telemetry).
• Define and maintain data models and data contracts (schemas semantics versioning rules) for audio-related files user preferences and metadata including quality guardrails (schema validation anomaly detection etc.)
• Develop and maintain data lakes / lakehouse architectures
• Design and implement standardized API for data consumption.
• Prepare and curate highquality datasets for AI/ML model training validation experimentation and statistical analysis.
• Collaborate directly with ML Engineer and Data Scientist to optimize data formats for training performance and storage efficiency
• Design costaware policies for data retention sampling compression and technology selection
• Optimize pipeline execution times and resource usage (batch vs streaming compute sizing caching strategies)
• Establish measurable KPIs for data cost efficiency pipeline reliability and performance

• Ensure compliance with internal policies OEM requirements and regulatory constraints

• Create clear documentation for pipelines schemas and architectural decisions

• Mentor other engineers on practical data engineering performance tuning and costefficient design

What You Need to Be Successful

• 5 years of handson experience building and operating largescale data pipelines and platforms
• Strong proficiency in Python PySpark and SQL for data processing and automation
• Solid experience with cloudbased data platforms (e.g. AWS S3 Azure Databricks object storage distributed computing)
• Proven ability to automate repetitive tasks and improve data hygiene
• Proven experience implementing costsaving strategies in data platforms (storage tiering compute optimization pipeline tuning)
• Deep understanding of data modeling partitioning indexing and performance optimization
• Experience handling largevolume highfrequency or unstructured data (audio signals logs telemetry)
• Strong knowledge of data governance and privacy best practices
• Working knowledge of privacypreserving data handling (pseudonymization anonymization etc.) dataquality checks and datalineage tracking.
• Ability to work independently and collaborate effectively in crossfunctional global teams
• Strong communication and collaboration skills with the ability to work effectively in an intercultural and crossfunctional team.

Bonus Points if You Have

• Bachelors or Masters degree in Computer Science Electrical Engineering Machine Learning Signal Processing or a closely related field.
• Experience working with audio image or signal processing domains
• Background working with automotive datasets or connected vehicle data
• Experience deploying ML models to production (cloud or edge environments).
• Experience with event-driven architectures (Kafka-like patterns IoT ingestion patterns).
• Experience programming with C and embedded systems
• Familiarity with OTA update flows artifact versioning and safe rollback mechanisms.
• Experience building reproducible workingenvironment (docker virtual environments)
• Experience with privacy-aware designs: PII privacy tokenization/pseudonymization retention automation.

What Makes You Eligible

• Advanced English communication skill will be part of a Global team
• Willing to work in an office at Bangalore.

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 products (JBL HARMAN Kardon AKG and more)
• Extensive training opportunities through our own HARMAN University
• Competitive wellness benefits
• Tuition reimbursement
• Be Brilliant employee recognition and rewards program
• An inclusive and diverse work environment that fosters and encourages professional and personal development.

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HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard torace 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.