Data Engineer, Promise Amazon
Seattle, WA

Job Description

Do you want to play a crucial role in the future of Amazon's retail business by building data systems that enable data driven decision making at the largest scale possible?

The Promise team sets the expectation of when customers' items will arrive. The delivery promises we make are key drivers of customer behavior and influence the short and long-term profitability of Amazon's global retail business. We serve as the interface between customer expectations and Amazon's industry-leading fulfillment capabilities. We are part of the Supply Chain Optimization Technology (SCOT) Group that develops and manages systems that optimize inventory acquisition and placement so products are available for fast delivery. (For more information on SCOT, see this short video: http://bit.ly/amazon-scot.) Successful members of the Promise team are customer obsessed, flexible, and collaborative team players who enjoy working across functions and organizations to solve problems and get results. They ask hard questions and build solutions that provide the critical business insights needed to influence decision making across retail and operations teams. They find timely answers buried in large data sets and complex systems, identify root causes, and get their hands dirty building data systems and sharing insight.

The Promise team is seeking a Data Engineer with broad technical skills and world-class data management skills to develop the data systems we use to optimize delivery promises for Amazon's customers worldwide. As an Amazon Data Engineer you will be working in one of the world's largest and most complex data warehouse environments. You will work on analytics, visualization solutions, and other Business Intelligence applications used by researchers, engineers, and management across multiple departments. You should be reliable at designing, implementing, and operating stable, scalable, low-cost solutions that persist data from production systems into the data warehouse and end-user facing applications. You should have deep expertise in the design, creation, management, and business use of extremely large datasets. You will need excellent business and communication skills to work with researchers and business owners in a fast paced environment to develop and define key business questions and requirements. Above all, you should be passionate about working with huge datasets and analytics tools to provide insight into how the business is running and enable business decisions to be data driven.

Responsibilities include:

* Designing, implementing, and supporting an analytical platform that provides ad hoc access to large data sets and computing power
* Managing AWS resources including EC2, S3, and Redshift
* Working with other technology teams to extract, transform, and load data from a variety of data sources using SQL and AWS big data technologies
* Evaluating and implementing various big-data technologies and solutions to optimize processing of extremely large data sets in an accurate and timely fashion
* Recognizing and adopting best practices in reporting, analysis, data integrity, test design, validation, and documentation

Amazon is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.