re you seeking an environment where you can drive innovation? Do you want to apply state-of-the-art computer technologies to solve real world problems? Do you want to affect not only internal users but Retail customers worldwide? In Retail Systems, you will pave the future of Amazon Retail, enhancing how we do business and our effectiveness as a player in the global e-commerce. Amazon has risen to the top of online retail, but there is still a lot of work to be done to remain competitive and find new opportunities.
As a member of Amazon's Vendor Self Service development team, you will be a key player in driving Amazon's Retail business; the bread and butter of Amazon. The Vendor Self Service team is streamlining many of the business processes that run Amazon Retail. We've built a large-scale vendor management solution, and we're looking for a technical program manager who will help pave the future for how our internal users think about software. You will solve technical challenges in optimization, large-scale computing, distributed systems, web applications, scalability, security, and algorithms just to name a few. You will drive future solutions that will impact how we run the Retail business worldwide and interface with many teams, both technical and non-technical, across the company. And most importantly, the Retail Systems team is composed of some awesome people, and you'll have a lot of fun!
To learn more about Vendor Systems & Experiences, visit our page at http://bit.ly/AmazonVSE
Basic Qualifications As a Data Engineer working on the analytics platform, you will be developing and supporting the analytic technologies that give our customers timely, flexible and structured access to their data. You will design and architect scalable reporting solutions which empower the customers with powerful actionable business information and insights. You will also own the design, creation, and management of extremely large datasets. You will interact with customers to gather requirements and build reporting solutions. You will be designing, implementing, and operating stable and scalable solutions to flow data from data warehouse and other production systems into end-user facing applications.
•4+ years of data enginerring experience.
•Design and Develop scalable ETL and reporting solutions that transforms data into actionable business information
•Interface with business customers, gathering requirements and gaining a deep-dive understanding of key datasets.
•Tune application and query performance using UNIX profiling tools and SQL
•You should have strong expertise in the design, creation, management, and business use of extremely large datasets
•Evaluate and implement various big-data technologies and solutions (Hive, Tez, Spark, Presto) to optimize processing of extremely large datasets in an accurate and timely fashion.