Amazon Data Engineer Prime Video Global App Experience 

United States, Washington, Seattle 

236362773

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 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 responsibilitiesAs a Data Engineer II, 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 VideoA day in the life
We are looking for a talented Data Engineer II to help build/enhance the global data platform that enhances the App 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.

- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL