Amazon's Global IT FBO (Finance Business Operations) team is seeking a highly skilled and motivated Data Engineer to join our team. Global IT is growing and changing, and the data required to support critical business decisions in this space is provided by the FBO team. Our ideal candidate is someone who is always learning and improving as the business grows and the relevant technologies continue to evolve. If you enjoy innovating and thinking big, and want to contribute directly to the success of the business, you may be a prime candidate for this position. CORE RESPONSIBILITIES · Lead architecture design and implementation of next generation BI solution. · Build robust and scalable data integration (ETL) pipelines using SQL, EMR, Python and Spark. · Build and deliver high quality data architecture to support business analysis, data scientists, and customer reporting needs. · Interface with other technology teams to extract, transform, and load data from a wide variety of data sources
· Bachelor's degree or higher in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering). · 5+ years of relevant experience in one of the following areas: Data engineering, database engineering, business intelligence or business analytics. · 5+ years of hands-on experience in writing complex, highly-optimized SQL queries across large data sets. · 5+ years of experience in scripting languages like Python etc. · Demonstrated strength in data modeling, ETL development, and Data warehousing. Data Warehousing · Experience with AWS services including S3, Redshift, EMR, Kinesis