Lead Data Engineer, Amazon Music DISCO
Amazon
Description
Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. Learn more at https://www.amazon.com/music.
Embark on an exhilarating journey with the DISCO team at Amazon Music!
As a senior 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 internal customers. Join us in championing a culture of inclusivity and a data-driven mindset, where every team member at Amazon Music is empowered to make informed decisions and measure their impact. Be the driving force behind delivering top-notch, accessible data and democratizing data access through user-friendly self-service tools. Join us on this exciting quest to redefine how we approach insights and decision-making for all!
Key job responsibilities
As a Sr. Data Engineer, you will develop new data models using engineering patterns that leverage new cloud architectures, genAI and will extend or migrate existing data pipelines to the architectures as needed. This role will also enable the team to build genAI based applications that will improve the efficiency of our BI teams and Product Managers. Collaborate with scientists to create fast and efficient algorithms that exploit our rich data sets for optimization, statistical analysis, prediction, clustering, and machine learning. Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers. You will also be responsible to make sure our data store is secure and compliant and will work with Privacy and compliance teams.