DataEngineer

Amazon has a culture of data-driven decision-making and demands business intelligence that is timely, accurate, and actionable. The Customer Traffic Data team’s role is to answer who did what, where and when it was done, and how key metrics were impacted. Ultimately, we want to answer why customer behavior changes, and how to influence it. Our group is responsible for ingesting and processing big data sets of website and mobile traffic and interactions, in order to identify and understand customer behavior. By understanding traffic flows and customer behavior across Amazon websites, Customer Traffic Data creates multi-million-dollar business opportunities allowing Amazon strong and sustained growth rates. Our traffic, customer interaction and attribution datasets power personalization, A/B testing, content optimization, internationalization, marketing spend allocation, product demand, customer conversion, selection reach and application performance (latency, errors, crashes). We are seeking a passionate Data Engineer to play a crucial role in developing and maintaining our robust, scalable distributed system that supports the data needs of our analytics platform. This includes data streaming, storage, and processing capabilities built on top of native AWS technologies. As a Data Engineer, you will share ownership of the technical vision and direction for our advanced analytics products. You will collaborate with a team of top-notch technical professionals, developing complex data systems at scale while maintaining a strong focus on sustained operational excellence. To succeed in this role, you should have a strong background in data engineering, proficient in relevant technologies and programming languages, and a deep understanding of big data architectures, data modeling, and database design. Additionally, you should possess excellent problem-solving skills, attention to detail, and the ability to work collaboratively in a dynamic and fast-paced environment. Key jo