Data Engineer

Amazon.com, Inc. Shoreline, WA
At Amazon, our goal is to be earth's most customer-centric company and to create a safe environment for both our Customers and our associates. To achieve that, we need exceptionally talented, bright, dynamic, and driven people. If you'd like to help us build the place to find and buy anything online, this is your chance to make history. We are looking for a talented data engineer to join the Restricted Products team based in our Seattle office.

This role will be a key member of the RP Business Intelligence team, focused on supporting the Restricted Products Supplier Engagement team and responsible for developing robust, scalable data models to support new supplier risk detection, assessment, and enforcement programs and tools. You'll be challenged to innovate using a variety of technologies and data sources, and you will work with top-notch technical and non-technical professionals across multiple organizations and regions in order to develop and deliver complex solutions that will sustain operational excellence. We are looking for someone who is motivated by thinking big, moving fast, and inventing new ways to create and use data and available technologies at Amazon.

This role requires strong attention to detail, excellent analytical abilities, deep knowledge of business intelligence solutions, solid work ethic and drive, the ability to work independently and with primary stakeholders to solve complex medium and large scale issues, the ability to recommend solutions to unstructured problems, and the skill to manage both with and without authority. The successful candidate will be a motivated self-starter, comfortable with ambiguity, and will be comfortable extracting data from various sources to design/construct/execute complex data architectures that help to solve business problems.

Responsibilities

* Design, implement, and support analytical infrastructure

* Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL, Python, and AWS big data technologies.

* Explore and learn the latest technologies to provide new capabilities and increase efficiency.

* Collaborate with Business Analysts and Business Intelligence Engineers (BIEs) to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.

* Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering and machine learning.

* Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers

* Provide wing-to-wing data engineering support for project lifecycle execution (project planning, execution, risk assessment and system availability)

* Participate in developing strategy recommendations