Data Engineer Amazon
Seattle, WA

Job Description

From Jeff Bezos's, 2014 Amazon shareholder letter (http://tinyurl.com/q8zpobu): "Internally, Marketplace was known as SDP for Single Detail Page. The idea was to take our most valuable retail real estate - our product detail pages - and let third-party sellers compete against our own retail category managers." Today, millions of third party sellers offer products alongside Amazon Retail though the Amazon Marketplace. The Featured Merchant Algorithm (FMA) team owns the system and algorithms that select the offers that are featured on the 'Add to Cart' button (aka the 'Buy Box') on Amazon's most valuable retail real estate - the Product Detail Page referenced above. The FMA team's mission is to ensure that featured offers provide the best possible customer value based on factors including price, availability, delivery options and customer service. Our team leverages sophisticated econometric, machine learning, and big data technologies to help customers to discover the right products at the right prices from millions of trusted sellers billions of times a day. If you are looking for a career-defining opportunity on one of the most customer centric and business impacting teams within Amazon, we'd love to hear from you.

As an Amazon.com Data Engineer you will be working in one of the world's largest and most complex data warehouse environments. You should have deep expertise in the design, creation, management, and business use of extremely large datasets. We are looking for an Data Engineer to help build the next generation of Buy Box algorithms. These new set of algorithms will incorporate the continually changing preferences of our customers and continue to scale with numerous new programs that Amazon is introducing for our customers. You should be expert at designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data warehouse and into end-user facing applications. You should be able to work with business customers in understanding the business requirements and implementing reporting solutions. 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 change.You will provide guidance and support for other engineers with industry best practices and direction.

* Design, implement and support a platform that can provide ad-hoc access to large datasets
* Model data and metadata to support adhoc and pre-built reporting
* Interface with business customers, gathering requirements and delivering complete BI solutions
* Tune application and query performance using Unix profiling tools and SQL