How can we build talent pipelines to support Amazon’s growth? What is important for talent to be successful at Amazon? How can we better predict talent movement (promotions, transfers, attrition) and quantitatively identify the root causes? When does internal movement make the biggest impact on Amazon talent? These are among the most important questions at Amazon today. As a Data Engineer on the Worldwide Operations Talent Products Team you will have an opportunity to collaborate with a team of economists, applied research scientists, software development engineers, and user interface developers in answering these questions and developing products for use by internal operations leaders to manage these insights at scale. This team will shape the strategic direction and inform talent decisions at the highest levels of Worldwide Operations, helping us to become the world’s most scientific and technically proficient Human Resource organization. As a Data Engineer, you should be an expert in
· A desire to work in a collaborative, intellectually curious environment. · Degree in Computer Science, Engineering, Mathematics, or a related field or 4+ years industry experience · Demonstrated strength in data modeling, ETL development, and data warehousing. · Data Warehousing Experience with Oracle, Redshift, PostgreSQL, etc. · Query performance tuning skills · Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc) · Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a