Data Engineer, WWSNA

World's largest e-commerce and cloud computing company
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS · Logistics

Description For Data Engineer, WWSNA

Amazon's S&A (Standardization & Automation) team is seeking a talented Data Engineer to join their Finance Operations division. This role offers an opportunity to work with one of the world's largest data warehouse environments, where you'll be instrumental in re-architecting data systems and creating dynamic pipelines. You'll be working with cutting-edge AWS technologies and services, including Redshift, Glue, S3, and more, while building ETL pipelines that power critical business operations. The position combines technical expertise with business acumen, as you'll collaborate with various stakeholders to design and implement data infrastructure solutions. The S&A team views technology as a key enabler for Finance, focusing on automation and standardization to drive efficiency and business value. This role offers the chance to impact financial processes at scale while working with a comprehensive tech stack including Python, Airflow, and various AWS services. The position provides an excellent opportunity for growth in a team that values innovation and automation, with the chance to work on complex data challenges in a global environment.

Last updated 14 days ago

Responsibilities For Data Engineer, WWSNA

  • Design, implement and support scalable data infrastructure solutions
  • Implement complex data models for Amazon Inbound & Outbound Transportation business
  • Create solutions to integrate with multi heterogeneous data sources
  • Design and develop data service platform using Python, Airflow, and SQL
  • Automate deployments using AWS services
  • Work with business owners, Product teams and Tech leaders

Requirements For Data Engineer, WWSNA

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

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