Data Engineer

A global technology and retail company with a $35 billion business division focused on B2B solutions.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS · E-Commerce

Description For Data Engineer

Join Amazon Business, a rapidly expanding $35 billion global division focused on revolutionizing B2B procurement. As a Data Engineer in the ABDAI (Amazon Business Data Analytics and Insights) team, you'll work with one of the world's largest cloud-based data lakes. The role involves designing and implementing data warehouse solutions using multiple platforms including EMR, RDBMS, Columnar, and Cloud technologies.

The ABDAI team has two core missions: providing accurate and reliable data to accelerate business insights, and predicting customer actions to enable data-driven decision making. You'll be responsible for managing huge datasets, building data pipelines, and working closely with business stakeholders to answer critical business questions.

This position is part of the rekindle returnship program, offering an opportunity to return to the workforce. You'll be working in a fast-paced, high-energy environment where we value technical expertise, hands-on experience, and continuous learning. The role requires strong technical skills in data engineering, excellent communication abilities, and a passion for working with large-scale data sets.

You'll be joining a team that ensures accurate measurement of business performance by sourcing data from hundreds of Amazon Business platform systems and third-party applications. The team owns curated source-of-truth datasets and infrastructure, powering various business initiatives including outreach campaigns for Sales, Marketing, and Product teams.

This is an excellent opportunity to make a significant impact in a growing business while working with cutting-edge data technologies and helping shape the future of B2B commerce.

Last updated 10 minutes ago

Responsibilities For Data Engineer

  • Work with business owners to develop and define key business questions
  • Build datasets that answer business questions
  • Design and manage extremely large datasets
  • Work with cloud-based data lakes
  • Create and manage data warehouse solutions

Requirements For Data Engineer

  • 3+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with SQL

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