Short Description:
The AWS Data Engineer role at HARMAN in Bangalore involves developing and maintaining data pipelines on AWS and Databricks. Skills in Python, AWS services, SQL, and agile methodologies are crucial. HARMAN offers a dynamic work environment and career growth opportunities within the automotive, enterprise, and connected ecosystem. The role emphasizes innovation, inclusivity, and teamwork, fostering an environment for meaningful contributions in developing cutting-edge solutions.
Position: AWS Data Engineer
Location: Bangalore - Karnataka, India - EOIZ Industrial Area
Job Requisition ID: R-31055-2023
About HARMAN International
HARMAN (harman.com) is a global leader in designing and engineering connected products and solutions for consumers, automakers, and enterprises worldwide. Our portfolio encompasses a wide range of products and services, including audio, visual, and infotainment systems, enterprise automation solutions, and software services. HARMAN is home to renowned brands such as AKG, Harman Kardon, Infinity, JBL, Lexicon, Mark Levinson, and Revel, which are celebrated by audiophiles, musicians, and entertainment venues across the globe.
In addition to our consumer-focused products, HARMAN is a technology and integration services leader in the Automotive, Mobile, Telecommunications, and Enterprise sectors. Over 25 million vehicles on the road today are equipped with HARMAN audio and infotainment systems, and our software solutions power billions of connected and personalized mobile devices across various platforms. We are a global company with a diverse workforce of approximately 30,000 individuals spanning the Americas, Europe, and Asia. In March 2017, HARMAN became a wholly-owned subsidiary of Samsung Electronics.
HARMAN is firmly committed to fostering an inclusive and innovative work environment. We are an Equal Opportunity and Affirmative Action employer, dedicated to providing equal employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. At HARMAN, we offer a dynamic work environment, exceptional career growth opportunities, professional development, and competitive compensation.
Job Description
About HARMAN
At HARMAN, we are driven by a creative, purposeful, and agile team of engineers and designers who are passionate about making a positive impact. As a member of this exceptional team, you will have the opportunity to combine your technical expertise with innovative ideas, contributing to the development of state-of-the-art solutions in the automotive, enterprise, and connected ecosystem. Our daily mission is to push the boundaries of creative design, and HARMAN is committed to supporting your career growth by providing access to innovative technologies and valuable resources.
Your Career at HARMAN
As a rapidly advancing technology leader, HARMAN is built upon a foundation of innovation, inclusivity, and teamwork. Our culture embraces challenges, promotes collaboration, and encourages innovation, fostering an environment where you can thrive, make a meaningful difference, and take pride in your daily work.
Position Overview
We are seeking a highly skilled AWS Data Engineer to join our team at HARMAN International, a global leader in designing and engineering connected products and solutions for consumers, automakers, and enterprises. In this role, you will play a key part in developing and maintaining data pipelines on AWS and Databricks, contributing to the creation of cutting-edge solutions in the fields of audio, visual, and infotainment systems, as well as enterprise automation solutions. If you are passionate about technology and data engineering, and have the required skills, we invite you to apply for this exciting opportunity.
Key Responsibilities
- Develop and maintain data pipelines on AWS and Databricks.
- Utilize Python and other relevant technologies to engineer and orchestrate batch data pipelines using AWS Glue Workflows.
- Work with AWS Essentials including S3, IAM, EC2, and Lambda.
- Collaborate on the development of streaming pipelines using AWS Kinesis.
- Utilize a tech stack that includes AWS, Databricks, Glue, Python, PySpark, and DBT for ETL development.
- Demonstrate strong skills in SQL.
- Understand data, systems, and end-to-end data processes within your functional area.
- Ability to work with agile delivery methodologies.
- Excellent communication skills.
Qualifications
- Previous hands-on professional experience in developing and maintaining data pipelines on AWS and Databricks.
- Coding proficiency in Python.
- Good working knowledge of AWS Essentials such as S3, IAM, EC2, and Lambda.
- Experience in engineering and orchestrating batch data pipelines using AWS Glue Workflows.
- Knowledge of streaming pipelines using AWS Kinesis.
- Tech stack expertise in AWS, Databricks, Glue, Python, PySpark, and DBT.
- Hands-on skills with SQL.
- Strong understanding of data, systems, and end-to-end data processes within your functional area.
- Ability to work with agile delivery methodologies.
- Good communication skills.
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