Data Engineer, Customer Traffic Data

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 job responsibilities

Our team is looking for an Data engineer to implement and support scalable data infrastructure solutions in one of the world's largest and most complex data warehouse environments. You will design, implement and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests. You will be exposed to cutting edge AWS big data technologies. You should have excellent business and communication skills to be able to work with business owners and Tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and data-sets to meet business needs. You stay abreast of emerging technologies, investigating and implementing where appropriate.

A day in the life

Your daily activities will include:

• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies.
• Explore and learn AWS technologies to provide new capabilities and increase efficiencies.
• Designing and implementing complex pipelines and other BI solutions.
• Work closely with business owners, developers, Business Intelligence Engineers to explore new data sources and deliver the data.

About the team

The Data Mobility Solutions (DMS) team, part of Customer Traffic Data, builds systems that efficiently move and integrate Petabytes of data across Amazon's platforms. We operate robust data lakes and pipelines, enabling informed decision-making and data-driven innovation throughout the company. Join us to work on scalable, reliable, and secure data management solutions that drive Amazon's growth.

• Experience in data engineering
• Experience with data modeling, warehousing and building ETL pipelines

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ) to know more about how we collect, use and transfer the personal data of our candidates.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.