Data Engineer, Analytics & Data Management

Amazon is investing heavily in building an excellent advertising business, and is responsible for defining and delivering a collection of self-service performance advertising products that is fully scalable and reliable. Our products are strategically important to our leadership, finance, economists, analysts, and BI partners to drive long-term growth. We mine billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products.

The Advertising Analytics & Data Management team is looking for a Data Engineer who is passionate about data and the insights that large amounts of data can provide, experienced in designing and building data marts, and enjoys working with PB-scale data. The role will work with a team of business and technical professionals to lay down scalable data architecture for ingesting large amounts of structured and unstructured datasets, building views that can be easily consumed by customers, and partnering with stakeholders to drive data-based business decisions.

Key responsibilities:

• Develop and improve the current data architecture using AWS Redshift, AWS S3, AWS Aurora (Postgres) and Hadoop/EMR
• Improve upon the data ingestion models, ETL jobs, and alarming to maintain data integrity and data availability
• Stay up-to-date with advances in data persistence and big data technologies and run pilots to design the data architecture to scale with the increased datasets of advertiser experience
• Partner with stakeholders to build and verify hypothesis to improve business performance
• Manage and support business critical reports and reporting tools to monitor KPIs

The ideal candidate will possess both a data engineering background and a strong business acumen that enables them to think strategically. They will experience a wide range of problem-solving situations, requiring extensive use of data collection and analysis techniques such as data mining and machine learning.