Job Abstract

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

- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines

- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.