Data Engineer

Global technology company leading in e-commerce, cloud computing, and artificial intelligence
Data
Mid-Level Software Engineer
In-Person
3+ years of experience
Enterprise SaaS · E-Commerce

Description For Data Engineer

Amazon Prime is seeking a talented Data Engineer to join their team in building an innovative platform for real-time insights. This role is crucial in developing solutions that will process and analyze customer data across Prime's various services including shipping, video streaming, music, and Kindle books. You'll be working in one of the world's largest data environments, collaborating with cross-functional teams including marketing, retail, finance, and machine learning.

As a Data Engineer, you'll lead the architecture, design, and development of the data, metrics, and reporting platform for Prime. Your responsibilities will include implementing new Business Intelligence solutions, working with big data, and creating analytical capabilities that support various stakeholders. You'll be using cutting-edge AWS technologies and following modern software development principles to build scalable, reliable, and efficient solutions.

The role offers an opportunity to work with massive datasets and complex data environments while directly impacting millions of Amazon Prime customers. You'll be responsible for building end-to-end data pipelines, managing worldwide Prime core services infrastructure, and implementing automated quality control processes. The position requires strong technical skills in data engineering, experience with ETL processes, and knowledge of SQL.

This is an excellent opportunity for a data professional who wants to make a significant impact at scale, working with the latest technologies in a fast-paced environment. You'll have the chance to mentor other engineers, drive technical strategy, and work on projects that directly influence Amazon Prime's success in providing customer benefits worldwide.

Last updated an hour ago

Responsibilities For Data Engineer

  • Own design and execution of end to end projects
  • Manage WW Prime core services data infrastructure
  • Establish key relationships across Amazon business units and Business Intelligence teams
  • Implement standardized, automated operational and quality control processes
  • Build real-time data processing solutions
  • Architect and implement new automated Business Intelligence solutions
  • Partner with business leaders to drive strategy and prioritize projects

Requirements For Data Engineer

Python
  • 3+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with SQL
  • Experience with AWS technologies (preferred)
  • Experience with non-relational databases (preferred)

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