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DESCRIPTION

Are you ready to be part of something groundbreaking? Come join our team and help create innovative discovery and shopping products that connect customers with their ideal vehicles. We are seeking a talented Data Engineer to join our dynamic reporting and analytics team. If you are passionate about Big Data technologies, excel at building scalable real-time analytical solutions, are relentless in ensuring data quality and reliability, and are comfortable communicating with all levels of leadership, you are the perfect candidate for this role!

This is a great opportunity for an experienced data engineer to design and implement the technology for a new Amazon business. This role requires deep expertise in the design, creation, management, and business use of large datasets, across a variety of data platforms. You should have excellent business and interpersonal skills to be able to work with business owners to understand data requirements, and to build and ingest the data into the data lake. You should be an authority at crafting, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data lake. Above all, you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive growth.

Key job responsibilities
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.) and internal Amazon tools (Datanet, Cradle, QuickSight etc.)
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience communicating with users, other technical teams, and management to collect requirements, describe data modeling decisions and data engineering strategy