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Data Engineer, Prime Data Engineering and Analytics

Global technology company leading in e-commerce, cloud computing, and artificial intelligence.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
1+ year of experience
Enterprise SaaS · AI

Description For Data Engineer, Prime Data Engineering and Analytics

The Prime Data Engineering & Analytics (PDEA) team at Amazon is seeking passionate Data Engineers to build and manage their petabyte-scale data infrastructure supporting worldwide Prime business operations. This role involves working in one of the world's largest and most complex data environments, collaborating with marketing, retail, finance, analytics, and machine learning teams to provide real-time data processing solutions. You'll be responsible for leading the architecture, design, and development of data, metrics, and reporting platforms for Prime, implementing Business Intelligence solutions, and working with big data technologies. The position offers opportunities to partner with business leaders, drive strategy, and provide technical leadership while managing critical data infrastructure that supports Amazon Prime's various benefits including shipping, video streaming, music, and Kindle services. The role combines technical expertise with business acumen, requiring skills in data engineering, architecture, and team leadership.

Last updated 44 minutes ago

Responsibilities For Data Engineer, Prime Data Engineering and Analytics

  • Own design and execution of end to end projects
  • Own managing WW Prime core services data infrastructure
  • Establish key relationships which span Amazon business units and Business Intelligence teams
  • Implement standardized, automated operational and quality control processes to deliver accurate and timely data and reporting to meet or exceed SLAs

Requirements For Data Engineer, Prime Data Engineering and Analytics

Python
  • 1+ years of data engineering experience
  • Experience with SQL
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
  • Experience with one or more scripting language (e.g., Python, KornShell)

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