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Description

Are you passionate about using Data as a way to enable automation, knowledge extraction, and artificial intelligence through the use of Machine Learning, Natural Language Processing, Recommender systems, Computer Vision, and Optimization? Do you have experience collaborating with Business Intelligence and Business Analysis organizations? We are building a team of experienced Engineers to support this vision.

On this team you will partner with a mature team of Software Engineers, Scientists, Business Intelligence Engineers and Business Analysts to create the infrastructure and processes needed to support ML models, analyze/model customer reading behavior to measure engagement and detect risks, study and optimize manufacturing and fulfillment processes, and build AI-based systems, among other use cases.

We offer autonomy, value end-to-end, ownership, and a strong partnership with our experienced sister teams.

As a Data Engineer, you will participate in the definition, design, implementation and testing of our Data processes and needs.

As a Data Engineer, you will be working with a large and complex dataset. You should have expertise in the design, creation, management, and business use of large datasets and complex infrastructure.

The successful candidate will have relevant experience with SQL, ETL (and general data wrangling) and have good communication skills.

Come join us as we continue to revolutionize the book industry!

Key job responsibilities

- Design, implement, and deploy data solutions. Solve difficult problems generating positive feedback.

- Provide a solid understanding of data design approaches (and how to best use them).

- Ability to work independently and with your team to deliver data solutions successfully.

- Consistently generate high quality artifacts (e.g., secure, testable, maintainable, low-defects, efficient, well documented etc.) and incorporates best practices. Your team trusts your work.

- Generations of data models and code reviews that tend to be rapid and uneventful. Provide useful review comments for changes submitted by others.

Basic Qualifications

- 3+ years of data engineering experience

- Experience with data modeling, warehousing and building ETL pipelines

Preferred Qualifications

- 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 an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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.