Does the prospect of building large-scale extensible solutions to process Amazon scale data excites you? Do you want to create the next-generation tools for intuitive data access? Amazon's Retail Business Services (RBS) tech team needs a Data Engineering Manager to lead a team of BI and Data Engineers.
Amazon strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon continues to grow and evolve as a world-class e-commerce platform. Amazon RBS team is responsible for many business critical programs in the Retail business to increase the available selections, reduce customer impacting defects in our content, and improve vendor profitability and relationships. Analytic dashboards and reports built on our data and data processing infrastructure are critical for the Business and operations team day to day functioning.
We are looking for a seasoned data engineering manager to build and continuously evolve the next gen data platform to process and report petabyte scale data from RBS systems, our catalog, and various other interfacing systems. You will work with the business and operations leaders and with other Amazon engineering teams to plan, design, execute and implement this platform. You will be responsible to manage a team of data and BI engineers, and apply solid task and people management skills to build a strong team. You will drive ongoing development of standard operating procedures and continuously raise the bar of team operations.
The ideal candidate will have prior experience in managing multiple teams owning critical customer deliverables, lot of experience in heterogeneous technologies in DW space (map/reduce, columnar DBs etc.,). You should be capable of technical deep-dives, and have business acumen to partners with business to identify strategic opportunities where improvements in data infrastructure creates outsized business impact. Most importantly, you should be passionate about data and analytic.