Amazon Music's DISCO (Data, Insights, Science & Optimization) team is seeking a Data Engineer to join their dynamic team. This role is crucial in helping make sense of the vast amount of data that Amazon Music generates daily. The position involves working with petabyte-scale data systems, managing billions of daily events, and developing sophisticated data pipelines using cutting-edge technologies.
As a Data Engineer at Amazon Music, you'll be part of a team that enables data-driven decision-making across the organization. You'll work with technologies like AWS Redshift, S3, EMR, EC2, DynamoDB, and Kinesis Firehose. The role involves building and maintaining critical data infrastructure that supports personalization, marketing, and core business functions.
The ideal candidate will have strong experience in data engineering, ETL processes, and big data technologies. You'll be responsible for developing and managing data pipelines, ensuring data quality and availability, and supporting various teams in their data needs. This is an excellent opportunity for someone passionate about big data challenges and interested in working at the intersection of music and technology.
Working in the DISCO team means you'll be directly impacting how Amazon Music serves its millions of customers through data-driven insights. You'll help build and maintain the systems that power personalized music playlists, exclusive podcasts, and concert livestreams. The role offers the chance to work with a global team and influence how Amazon Music engages with fans, artists, and creators worldwide.
This position requires both technical expertise and business acumen, as you'll need to understand how data insights connect to business outcomes. You'll be working in a fast-paced environment where you'll need to balance maintaining existing systems while building new solutions to support Amazon Music's growing needs.