Data Engineer, Amazon Music, Amazon Music Finance
Core
Design, build, and own data infrastructure and pipelines powering analytics and science for Amazon Music's customer growth and engagement.
Role type
Data Engineer (Music Finance)
Builds
Data pipelines, self-service analytics, and predictive models for acquisition, engagement, and retention at scale.
Domain
Music streaming / Finance / Data Engineering
Required skills
Data modeling, data warehousing, ETL pipeline construction, SQL, PySpark, Airflow, AWS Cloud Development Kit (CDK), NoSQL/SQL storage technologies, data compliance implementation, technical documentation
Preferred skills
AWS Redshift, AWS S3, AWS Glue, AWS EMR, AWS Kinesis, AWS FireHose, AWS Lambda, AWS IAM, non-relational databases (object, document, key-value, graph, column-family)
Technologies
AWS CDK, SQL, PySpark, Airflow, Redshift, S3, Glue, EMR, Kinesis, FireHose, Lambda, IAM
Responsibilities
Architect state-of-the-art data analytics platforms on AWS; construct resilient and scalable data pipelines; devise and implement efficient data warehousing solutions; automate ETL/ELT processes; develop data models for business intelligence; enable advanced analytics and generative AI capabilities; monitor and optimize data pipeline performance; implement robust security measures; generate comprehensive technical documentation.
Seniority
Mid-level, hands-on IC