Amazon's eCommerce Foundation (eCF) organization is responsible for the core components that drive the Amazon website and customer experience. Serving millions of customer page views and orders per day, eCF builds for scale. As an organization within eCF, the Business Data Technologies (BDT) group is no exception. We collect petabytes of data from thousands of data sources inside and outside Amazon including the Amazon catalog system, inventory system, customer order system, page views on the website and Alexa systems. We also support Amazon subsidiaries such as IMDB and Audible. We provide interfaces for our internal customers to access and query the data hundreds of thousands of times per day, using Amazon Web Service's (AWS) Redshift, Hive, Spark, and more. We build scalable solutions that grow with the Amazon business. BDT is growing, and the data processing landscape is shifting. Our data is consumed by thousands of teams across Amazon including Research Scientists, Machine Learning Specialists, Business Analysts and Data Engineers. BDT team is building an enterprise-wide Big Data Marketplace leveraging AWS technologies. We enable teams at Amazon to produce analytical data in any form of storage (S3, DynamoDB, Aurora, etc.) and process that data using any type of compute environment such as EMR/Spark, Redshift, Athena, and others via a common bus. We are developing innovative products including the next-generation of data catalog, data discovery engine, data transformation platform, and more with state-of-the-art user experience. We're looking for top engineers to build them from the ground up. This is a hands-on position where you will do everything from designing and building extremely scalable components and customer-focused features to formulating strategy and direction for Big Data at Amazon. You will also mentor junior engineers and work with the most sophisticated customers in the business to help them get the best results. You need to not only be a top software developer with excellent programming skills, an understanding of big data and parallelization, and a stellar record of delivery, but also excel at leadership and customer obsession and have a real passion for massive-scale computing. Come help us build for the future of Big Data!
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Job Type
Full-time
Career Level
Mid Level
Industry
General Merchandise Retailers
Number of Employees
5,001-10,000 employees