Senior Data Engineer

Global technology company focused on e-commerce, cloud computing, digital streaming, and artificial intelligence.
Data
Senior Software Engineer
In-Person
4+ years of experience
Enterprise SaaS · E-Commerce

Description For Senior Data Engineer

Amazon Marketing team is seeking a Senior Data Engineer to build a revolutionary platform delivering real-time insights for traffic, sales, deals, and engagement. This role is crucial in making Amazon Earth's most measurably effective marketing organization, working across verticals like A.in, Prime, Fashion, Fresh, and Pay. You'll be part of one of the world's largest data environments, collaborating with marketing, retail, finance, analytics, and ML teams to develop real-time data processing solutions. The position involves architecting and implementing new Business Intelligence solutions, including big data capabilities that support Development Engineers, Analysts, and Retail stakeholders. You'll work with AWS technologies and modern software development principles, driving automation and operational efficiencies while mentoring other data engineers. The role offers an opportunity to impact Amazon's data-driven decision-making process at a massive scale, working with cutting-edge technologies in a dynamic environment.

Last updated 2 months ago

Responsibilities For Senior Data Engineer

  • Own design and execution of end to end projects
  • Own managing IN Marketing core services data infrastructure
  • Establish key relationships which span Amazon business units and Business Intelligence teams
  • Implement standardized, automated operational and quality control processes
  • Lead architecture, design and development of data, metrics and reporting platform
  • Partner with business leaders to drive strategy and prioritize projects
  • Provide technical leadership and mentoring for data engineers

Requirements For Senior Data Engineer

Python
  • 4+ years of data engineering experience
  • 4+ years of SQL experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with query languages (SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
  • Experience with scripting languages (Python, KornShell)

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