Data Engineer, Buy with Prime

Job summary
We are looking for high caliber and tested Data Engineer (DE) to start a project with strategic significance and high exposure. This is a rare opportunity to work on a central data warehouse and science team, building infrastructure from ground up using native AWS technologies. You will define scalable processes and frameworks leveraged by multiple cross-functional teams. You will apply both business and technical acumen in a fast-paced, ambiguous and innovative environment. Our ideal teammate possesses a natural curiosity, sharp analytical skills and is excited to pioneer on behalf of customers.
If you enjoy dealing with high ambiguity, complexity and broad scope that will be at the epicenter of our initiative, come join us!




About the team
Buy with Prime is helping people reimagine the way they shop….wherever they do! Our vision is to enable every entrepreneur in the world to reach every customer in the world through every channel they can imagine. Buy with Prime is a new way to extend Prime shopping benefits—including fast, free shipping, a seamless checkout experience, and free returns—to merchants’ own online stores, ultimately increasing selection for Prime members. For over 20 years, Amazon been empowering small and medium-sized businesses with opportunities to grow. Buy with Prime is an exciting next step in our mission to help merchants of all sizes grow their business—whether on Amazon or beyond.

Basic Qualifications

• 3+ years of experience as a Data Engineer or in a similar role
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline.
• 2+ years of industry experience in Software Development, Data Engineering, Business Intelligence, Data Science, or related field with a track record of manipulating, processing, and extracting value from large datasets.

Preferred Qualifications

• Masters in computer science, mathematics, statistics, economics, or other quantitative fields.
• Hands-on experience and advanced knowledge of SQL, Kubernetes, Tableau, AWS Quicksight, AWS CDK, Handling Data APIs.
• Experience providing technical leadership and educating other engineers for best practices on data engineering.
• Background in Big Data, non-relational databases and Data Mining.
• Strong customer focus, ownership, urgency, and drive.
• Excellent communication skills.
• Effective analytical, troubleshooting, and problem-solving skills.

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.

Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.