Big Data Engineer: ML Platform at Amazon

Big Data Engineer: ML Platform Details

Nov. 8, 2018, 12:05 p.m.
Machine Learning Science
Seattle, Washington
part of team Amazon's Finance Technology
Are you passionate about data? Does the prospect of dealing with massive volumes of data excite you? Do you want to be part of team building a new machine learning platform that processes billions of records a day in a scalable fashion using AWS technologies? Amazon's Finance Technology team is seeking an outstanding Big Data Engineer to join the team that is shaping the future of the finance machine learning platform. The team is committed to building a large-scale machine learning platform solving complex and ambiguous problems in the finance space to service customers such as payments, treasury, and finance operations. Amazon has culture of data-driven decision-making, and demands data that is timely, accurate, and actionable. Our ideal candidate thrives in a fast-paced environment, relishes working with large transactional volumes and big data, enjoys the challenge of highly complex business contexts (that are typically being defined in real-time), and, above all, is a passionate about

· Bachelor's degree or higher in an analytical area such as Computer Science, Physics, Mathematics, Statistics, Engineering or similar. · Demonstrated ability in data modeling, ETL development, and data warehousing. · Coding proficiency in at least one modern programming language (e.g. Python, Java, Scala) · Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.). · Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large
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