Have you ever thought about what it takes to detect and prevent fraudulent activity among billions of eCommerce transactions across the globe? How would you build systems that evolve over time to proactively identify and neutralize new and emerging fraud threats? Are you excited by the prospect of analyzing and creating big data solutions for terabytes of data and state-of-art algorithms to solve real world problems? Our mission in Transaction Risk Management Services (TRMS) is to make Amazon.com the safest place to transact online. TRMS safeguards every financial transaction across all Amazon sites, while striving to ensure that these efforts are transparent to our legitimate customers. As such, TRMS designs and builds the software systems, risk models and operational processes that minimize risk and maximize trust in Amazon.com. As a Data Engineer in TRMS Machine Learning team, you will work with fellow scientists and engineers to develop scalable and innovative solutions to process terabytes
· Bachelor's degree in computer science, engineering, mathematics, or a related technical discipline · 4+ years of industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets · Demonstrated strength in data modeling, ETL development, and data warehousing · Experience using big data technologies (Hadoop, Hive, Hbase, Spark etc.) · Experience using business intelligence reporting tools (Tableau, Business Objects, Cognos etc.) · Knowledge of data management