Data Engineering team Machine Learning capabilities
Kindle delivers exceptional reading experiences because of its excellence in data driven Machine Learning capabilities built by experienced Data Engineers like YOU! We operate from a tera-to-petabyte scale and to help make sense of it all, the Kindle Insights ML Data Engineering team enables repeatable, easy, in depth analysis of Kindle customer behaviors. We reduce the cost in time and effort of analysis, data set building, model building, and user segmentation. Our goal is to empower all teams at Amazon Kindle to make data driven decisions and effectively measure their results by providing high quality, high availability data, and democratized data access through self-service tools. If you find big data irresistible, then this role is for you. We collect billions of events a day, manage tera-to-petabyte scale data on Redshift and S3, and develop data pipelines using Spark/Scala EMR, SQL based ETL, Python, R and Java services. What do I need? You are a talented, enthusiastic, and detail-oriented
· Bachelor’s degree in Data Science, Applied Science, Computer Science, Computer Engineering or related technical discipline · 5+ years of experience as a data/software developer/scientist or related technical job · Experience managing platforms or infrastructure software systems · Experience building/managing big data or traditional DW platform components · Experience as tech lead for highly-skilled data/software engineering/science teams· 5+ years of experience as a data/software developer/scientist or related technical portfolio. · Excellent verbal and written communication skills and technical