Big Data Engineer – Lead

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.

Responsibilities:

• Participate in efforts to design, build, and develop products in Big Data technologies.
• Build applications using Python, SQL, Databricks and AWS;
• Working understanding of Agile, Scrum, Design Thinking, and Lean Startup principles.
• Proactively identify and implement opportunities to automate tasks and develop reusable frameworks.
• Adhere to standard methodologies for coding, testing, and designing reusable code/component.
• Participate in sprint planning meetings and provide estimations on technical implementation.
• Contributed to the exploration and understanding of new tools and techniques and propose improvements to the data pipeline.
• Collaborate with the other engineering team members to ensure all services are reliable, maintainable, and well-integrated into existing platforms.
• Review functional and technical designs to identify areas of risk and/or missing requirements.
• Conduct complex data analysis and report on results. 
• Prepare data for prescriptive and predictive modeling.
• Explore ways to enhance data quality and reliability.

Requirements:

• 5-7 years’ experience with data engineering using various AWS Technologies like S3, Athena, Glue, Data Lake, pySpark.
• Ability to learn quickly, be organized and detail oriented.
• Understanding of Spark, Hive, Kafka, Kinesis, Spark Streaming.
• Good experience in SQL Programming
• Experience in Software Engineering and Development.
• Understanding of database schema design.
• Proficient in the coding languages Python

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.