Big Data Engineer at Amazon

Big Data Engineer Details

Nov. 27, 2018, 5:35 a.m.
Business Intelligence
Seattle, Washington
and A) team Optimal Sourcing Systems
Amazon’s Optimal Sourcing Systems (OSS) BI and Analytics (BI and A) team is looking for an experienced Big Data Engineer to build the world-class data ecosystem that will support sophisticated analysis of sourcing data to improve product availability, vendor lead times, Vendor Scorecard among many other science initiatives. This is an opportunity to think big about how to optimize the world’s most diverse supply chain. You will deliver tens of millions of dollars in savings annually through efficiency improvements to our supply chain. OSS is part of the Supply Chain Optimization Technology (SCOT) - a centralized organization that owns automated systems for demand forecasting, inventory management, sourcing, inbound optimization, Fast Track promise and order fulfillment. The OSS team works with several vendor inputs/constraints and other SCOT systems to execute a sourcing strategy, ultimately translating an optimal plan into real world execution by systematically connecting with suppliers

- 6 plus years of relevant experience - Exposure to Big Data Ecosystem and hands-on knowledge on hadoop, hive, pig, spark - Exposure to AWS Ecosystem with hands-on knowledge of data products and services - Hands-on in writing and optimizing advanced SQL queries - Experience in BI projects converting business needs to data warehousing and reporting solutions- Strong scripting abilities - Strong in any programming languages such as Java, Python - Ability to interact, communicate, present and influence within multiple levels of the organization - Excellent communication skills to be able to work with
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