Advanced Engineer – Automotive Data Engineering

Harman International — IN_Bangalore_Sattva Knowledge Court Bdg_HII

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. Introduction: A Career at HARMAN Automotive We’re a global, multi-disciplinary team that’s 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

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