Amazon Music's DISCO (Data, Insights, Science & Optimization) team is seeking a Business Intelligence Engineer to join their data-driven organization. This role sits at the intersection of big data and business intelligence, working with petabyte-scale data systems and building critical data pipelines.
The DISCO team plays a crucial role in enabling data-driven decisions that improve customer retention, engagement, and experience on Amazon Music. They manage billions of daily events, work with advanced AWS technologies, and develop sophisticated data pipelines using tools like Spark/Scala EMR, SQL ETL, Airflow, and Java services.
As a Business Intelligence Engineer, you'll be responsible for designing and developing scalable data warehouse solutions, creating complex data processing jobs, and building insightful dashboards. You'll work with technologies like AWS Redshift, S3, EMR, EC2, DynamoDB, and Lambda, while collaborating with Product, Marketing, BI, and ML teams.
The role offers an opportunity to work on challenging big data problems, develop and maintain critical data infrastructure, and contribute to Amazon Music's data university initiative. You'll be part of a team that manages the data exchange store and EMR/Spark processing layer, using Airflow for orchestration.
The ideal candidate should have experience with data analysis, visualization tools, and programming languages like Python or Java. Knowledge of AWS services and strong communication skills are essential. This position offers the chance to impact how Amazon Music engages with fans, artists, and creators on a global scale while working with cutting-edge data technologies and methodologies.
Join a team that's revolutionizing how data drives decision-making in the music streaming industry, working with some of the most exciting intersections of music and technology. This role provides an excellent opportunity for growth and learning in the fields of big data, analytics, and business intelligence.