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Data Engineer II, eCS Data Engineering and Analytics

Global technology and e-commerce company that builds systems spanning the full range of eCommerce functionality.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS · E-Commerce

Description For Data Engineer II, eCS Data Engineering and Analytics

Join Amazon's eCommerce Services (eCS) team as a Data Engineer II, where you'll be instrumental in building systems that power Amazon's global commerce infrastructure. The role focuses on developing data engineering solutions that process critical business and customer data, supporting systems that enable hundreds of billions in annual revenue. You'll work with the eCS Data Engineering and Analytics team to provide high-quality reports enabling Amazon's global business expansion.

The position involves architecting data warehouse solutions using multiple platforms, creating and managing large datasets, and implementing scalable ETL processes. You'll work directly with business analysts and engineers to optimize data warehouse design for reporting and analytics. The role is crucial in supporting Amazon's eCommerce functionality, from Privacy and Identity to Purchase Experience and Financial integration.

As a Data Engineer, you'll leverage AWS services like Redshift, Kinesis, EMR, and Lambda, along with internal tools such as DataNet, Cradle, and Quick Sight. You'll be responsible for improving existing solutions and developing next-generation data architecture to enhance scale, quality, timeliness, coverage, monitoring, and security. This role offers the opportunity to directly impact retail customer experience, a key component of Amazon's flywheel.

The ideal candidate should have strong experience in data engineering, particularly in data modeling, warehousing, and ETL pipeline construction. Knowledge of AWS technologies and non-relational databases is highly valued. This role offers the chance to work on mission-critical data systems that directly influence day-to-day decision-making at one of the world's largest eCommerce companies.

Last updated a day ago

Responsibilities For Data Engineer II, eCS Data Engineering and Analytics

  • Develop data products, infrastructure and data pipelines leveraging AWS services
  • Improve existing solutions and develop next generation Data Architecture
  • Develop new data models and end to data pipelines
  • Create and implement Data Governance strategy for mitigating privacy and security risks

Requirements For Data Engineer II, eCS Data Engineering and Analytics

Python
  • 3+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with SQL
  • Bachelor's degree

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