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 the architecture of DW solutions for the Enterprise using multiple platforms. You should excel in the design, creation, management, and business use of large datasets. You should have excellent business and communication skills to be able to work with business analysts and engineers to understand how best to design the data warehouse for reporting and analytics. You will be responsible for designing and implementing scalable ETL processes in the data warehouse platform to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as service which will have an immediate influence on day-to-day decision making. You should have the ability to develop and tune SQL to provide optimized solutions to the business.
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