Data Engineer I

Global technology company providing cloud computing, digital streaming, e-commerce, and artificial intelligence services.
Data
Entry-Level Software Engineer
In-Person
2+ years of experience
Enterprise SaaS

Description For Data Engineer I

Join Amazon's Mesa team as a Data Engineer I, where you'll be part of a dynamic environment focused on enabling various Amazon businesses through data solutions. The role involves managing critical data infrastructure for Amazon Music Unlimited and Prime Music services, working with Redshift clusters and SQL pipelines. You'll be responsible for ensuring high-quality, high-availability data delivery to internal customers, particularly supporting the Alexa platform. The Mesa team specifically focuses on providing tools and solutions for vendor and content provider payments globally, supporting multiple Amazon businesses including Kindle, Amazon Video, and Amazon Music. This position offers the opportunity to work with cutting-edge technologies, solve complex data challenges, and directly impact Amazon's global operations. You'll collaborate with engineers, product managers, and stakeholders across various business units while working on solutions that have significant customer impact. The role combines technical expertise in data engineering with business-critical operations, making it an excellent opportunity for growth and impact in a fast-paced, innovative environment.

Last updated 13 hours ago

Responsibilities For Data Engineer I

  • Manage Redshift and SQL based pipelines
  • Approve data access requests
  • Create and update SQL data pipelines
  • Perform maintenance tasks on Redshift cluster
  • Manage AWS infrastructure
  • Monitor infrastructure via CloudWatch alarms
  • Perform troubleshooting and root cause analysis
  • Submit code changes based on infrastructure issues

Requirements For Data Engineer I

Python
  • 2+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with SQL
  • Experience with one or more scripting language (e.g., Python, KornShell)
  • Experience in Unix
  • Experience in Troubleshooting data and Infrastructure issues

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