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Data Engineering Manager, Prime Video
3 months ago(14/03/2018 11:14)
AMZN Dev Center (London) Ltd
Prime Video is changing the way millions of customers interact with video content. Our team delivers high-quality video to Amazon customers through subscriptions (Amazon Prime), Channels (HBO, Sky) and purchases and rentals. We believe so deeply in the mission of Video that we've launched our own studio to create original and exclusive content. Every day we face the challenges of a fast paced market and expanding technology set. You will have the freedom and encouragement to explore your own ideas and the reward of seeing your contributions benefit millions of Amazon.com customers worldwide. We're looking for a Data Engineering Manager to help lead the Video Data Engineering team. Our existing data warehouse is built on AWS technologies like EC2, S3, and Redshift and processes over 15 TB of relational data in a matter of hours. We solve hard problems like DW source control, automated DW deployment and testing, backfill automation, and designing our DW to be massively parallel and highly performant. As a DEM, you will lead a team of data engineers who are solving big data warehousing problems. You will hire and develop a talented and growing team, while playing a lead role in the expansion of a strategically important business. You will work with Amazon Video stakeholders to define and deliver a product roadmap, while maintaining a high bar on operational excellence and platform stability. You will define elegant ways to unlock the potential in the massive volumes of data from our customers.
So if you think Hadoop is slow; You perceive 100s of terabytes to be small, then we have a position for you. We are looking for a person who thrives on big challenges! A person who is not afraid of thinking big and challenging the status quo. Ideally you have a proven track-record of building high-performance, high-availability database technology. In addition you have a passion for code and design, and providing technical leadership and mentoring.
- Masters or Bachelors in Computer Science or a related field. - Experience with relevant technologies and of enterprise class systems implementations, such as large data warehouse, ETL, BI - Experience managing an Analytics or Data Engineering team. - Strong data modeling skills and excellent knowledge of Oracle SQL, Linux.
- Data Analytics experience in managing large amounts of data and analyzing trends. - Extensive experience with Star Schemas, Dimensional Models, and Datamarts