Amazon-posted about 1 year ago
$91,200 - $185,000/Yr
Full-time • Entry Level
Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

The Data Engineer, Content Analysis & Strategy (CAST) role at Amazon Music focuses on leveraging big data to enhance content analytics and support data-driven decision-making across various teams. The position involves designing and managing data pipelines, ensuring high-quality data availability, and utilizing AWS technologies to facilitate in-depth analysis of music customer behaviors.

  • Writing scripts and building microservices in AWS to increase team efficiency.
  • Building and managing ETL pipelines in AWS to ingest data from external vendors.
  • Assisting the BIs on the team in managing the existing environment consisting of Redshift and SQL based pipelines.
  • Managing SQL data pipelines, including creating or updating existing pipelines and performing maintenance tasks on the Redshift cluster.
  • Assisting with the management of next-generation AWS infrastructure, including monitoring via CloudWatch alarms and troubleshooting infrastructure issues.
  • 1+ years of data engineering experience.
  • Experience as a data engineer or related specialty with a track record of manipulating, processing, and extracting value from large datasets.
  • Experience writing and optimizing SQL queries with large-scale, complex datasets.
  • Experience with one or more scripting languages such as Python, KornShell, or Scala.
  • Experience with big data technologies such as Hadoop, Hive, Spark, EMR.
  • Experience with ETL tools like Informatica, ODI, SSIS, BODI, Datastage.
  • Competitive salary based on market location and experience.
  • Equity and sign-on payments as part of total compensation package.
  • Full range of medical, financial, and other benefits.
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