Data Engineer I, DISCO MG

Amazon Music's DISCO (Data, Insights, Science & Optimization) team is seeking a talented Data Engineer to join their dynamic team. This role sits at the heart of Amazon Music's data infrastructure, working with petabyte-scale data and billions of daily events. The DISCO team plays a crucial role in enabling data-driven decisions that improve customer retention, engagement, and experience.

As a Data Engineer, you'll work with cutting-edge AWS technologies including Redshift, S3, EMR, EC2, DynamoDB, Kinesis Firehose, and Lambda. You'll be responsible for building and maintaining critical data pipelines, developing self-service data solutions, and contributing to Amazon Music's data university initiative. The role involves working with big data design and analysis, data modeling, and managing complex data pipelines.

The position offers the opportunity to work with Amazon Music's extensive data infrastructure, supporting various business domains including personalization and marketing. You'll collaborate with Product, Marketing, BI, and ML teams to build new behavioral events, pipelines, datasets, models, and reporting systems.

This is an excellent opportunity for someone passionate about big data challenges and interested in working with one of the world's leading music streaming services. You'll be part of a team that manages billions of events daily and helps drive data-driven decision-making across Amazon Music.

The role requires strong technical skills in data engineering, experience with SQL and scripting languages, and the ability to work with large-scale data systems. You'll be joining a team that values high standards, operational excellence, and customer-focused innovation.