Amazon Music is awash in data! To help make sense of it all, the Music Data Experience team enables repeatable, easy, in depth analysis of music customer behaviors. We reduce the cost in time and effort of analysis, data set building, model building, and user segmentation. Our goal is to empower all teams at Amazon Music to make data driven decisions and effectively measure their results by providing high quality, high availability data, and democratized data access through self-service tools.
If you love the challenges that come with big data then this role is for you. We collect billions of events a day, manage petabyte scale data on Redshift and S3, and develop data pipelines using Spark/Scala EMR, SQL based ETL, and Java services.
You are a talented, seasoned, and detail-oriented Data Engineer, BI Engineer, or Data Scientist who wants to take on big data challenges in an agile way. Duties include designing events and signals, building big data pipelines, creating efficient data models, performing analysis, and statistical/ML modeling. We manage Amazon Music's most important data pipelines and data sets, and are expanding our self-service data knowledge and capabilities through an Amazon Music data university.
This role requires you to focus on the data end to end, from producers to consumers. You will develop an understanding of our data, analytical techniques, and how to connect insights to the business, and you will gain practical experience in insisting on highest standards on operations in ETL and big data pipelines. With our Amazon Music Unlimited and Prime Music services, and our top music provider spot on the Alexa platform, providing high quality, high availability data to our internal customers is critical to our customer experiences.
Music Data Experience team develops data specifically for a set of key business domains like personalization and marketing and provides and protects a robust self-service core data experience for all internal customers. We deal in AWS technologies like Redshift, S3, EMR, EC2, DynamoDB, Kinesis Firehose, and Lambda. In 2019 this team will migrate Amazon Music's information model and data pipelines to a data lake storage and EMR/Spark processing layer. You'll build our data university and partner with Product, Marketing, BI, and ML teams to build new behavioral events, pipelines, datasets, models, and reporting to support their initiatives. You'll also continue to develop our offline analytics capabilities in Tableau and build out our real time dashboarding capabilities.
Imagine being a part of an agile team where your ideas have the potential to reach millions. Picture working on cutting-edge consumer-facing products, where every single team member is a critical voice in the decision-making process. Envision being able to leverage the resources of a Fortune-500 company within the atmosphere of a start-up. Welcome to Amazon Music, where ideas are born and come to life as Amazon Music Unlimited, Prime Music, and so much more.
Everyone on our team has a meaningful impact on product features, new directions in music streaming, and customer engagement. We are looking for new team members across a variety of job functions including software engineering/development, marketing, design, ops and more. Come join us as we make history by launching exciting new projects in the coming year.
Our team is focused on building a personalized, curated, and seamless music experience. We want to help our customers discover up-and-coming artists, while also having access to their favorite established musicians. We build systems that are distributed on a large scale, spanning our music apps, web player, and voice-forward audio engagement on mobile and Amazon Echo devices, powered by Alexa to support our customer base. Amazon Music offerings are available in countries around the world, and our applications support our mission of delivering music to customers in new and exciting ways that enhance their day-to-day lives.
Come innovate with the Amazon Music team!
Amazon is a company operating a marketplace for consumers, sellers, and content creators.