Data Engineer - SCAR team, supporting Global Specialty Fulfillment

Seattle, Washington, USA

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The Global Specialty Fulfillment (GSF) team is seeking an experienced Data Engineer. We are looking for data engineer knowledgeable in the data warehousing solutions, using multiple platforms and tools. In addition, you have good analytical skills and excel in the design, creation, management, and business use of large data sets, combining raw information from different sources. Similarly, you will be responsible for designing and implementing scalable extract, transform, and load (ETL) processes to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as a service, which will have direct influence on day-to-day business decision making. You will create automated alarming and dashboards to monitor data integrity. We look for candidates who are good communicators, self-motivated, flexible, hardworking, and like to have fun.
The ownership for this role involves design and development of automated data pipelines, sophisticated analytical model and sustaining operations excellence. In addition, this role is on an analytical team that supports a wide range of businesses including Prime Now, Whole Foods Market, Central Operations, Locker+, Learning, etc. This role has great exposure to a broad scope that can really help shape the future of operational fulfillment and promotes career progression.

Main responsibilities of this role include but are not limited to:

- Perform data extraction, manipulation and production from database tables
- Manage and grow a database infrastructure
- Design, implement and validate complex logic using queries and programming languages
- Develop automation solutions through programming languages
- Support analytical researches and provide recommendations to business challenges

Basic Qualifications

· BS degree in quantitative or technical discipline or 4 years’ related Amazon experience.
· 4+ years of industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets.
· 3+ years of experience with SQL
· 3+ years experience in a modern programming language (ex. Java, Ruby, , etc.)
· 2+ years experience in database and data table design

Preferred Qualifications

· Masters Degree
· Experience in analytical projects
· 2 years of working experience in big data solutions like Hadoop, EMR, PySpark, Hive.
· Ability to dive deep on to issues on data pipeline failure, data quality alerts, security alarms.
· Strong ability to interact, communicate, present and influence within multiple levels of the organization
· Excellent communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions
· · Ability to work on a diverse team or with a diverse range of coworkers

Inclusive Team Culture
Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have 12 affinity groups (employee resource groups) with more than 87,000 employees across hundreds of chapters around the world. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which reminds team members to seek diverse perspectives, learn and be curious, and earn trust.

It isn’t about which hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We offer flexibility and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
We care about your career growth too. Whether your goals are to explore new technologies, take on bigger opportunities, or get to the next level, we'll help you get there. Our business is growing fast and our people will grow with it.

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

Job region(s): North America
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