Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime and non-prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.
As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.
Key job responsibilities
As a Sr. Data Engineer, you will develop new data engineering patterns that leverage new cloud architectures, and will extend or migrate existing data pipelines to the architectures as needed. You will be responsible for designing and implementing the complex ETL pipelines in data warehouse platform and other BI solutions to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as service which will have an immediate influence on day-to-day decision making at Prime Video. You will always be looking at ways to invent and simply our architecture there by reducing cost. You will also be responsible to make sure our data store is secure and compliant and will work with Privacy and compliance teams.
A day in the life
We are looking for a talented Data Engineer II to help build/enhance the global data platform that enhances the Commerce experience to ease discovery our content for our world audience (200+ countries.) In this role, you will own many large datasets, implementing new data pipelines that feed into or from critical data systems at Amazon. You will design, implement, and support new systems that ensure the quality of the data sets and work with our data scientists to make the data available for metrics, visualization, ad-hoc insights, and statistical modeling.
About the team
Prime Video’s Growth and Commerce team leads acquisition and engagement analytics for all Prime Video Commerce experiences across mobile, living room and web. We own 50+ core metrics, 25+ Datasets used by entire Prime Video to drive key decisions and support multiple strategic company goals. As the dedicated analytics partner for the Commerce Product product org, we focus on scalable data foundations, causal attribution, and GenAI-powered insights to accelerate decision-making and customer impact.
BASIC QUALIFICATIONS
- 5+ years of data engineering experience
- Experience with SQL
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices
PREFERRED QUALIFICATIONS
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
