Data Engineer I

This job is with Amazon, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Description

Join Us in the International Seller Services Central Analytics Team and Tackle Data Warehousing and Reporting Challenges!

We are a dedicated group of BIE, DE, DS, AS and BAs within the Seller Services organization at Amazon. Our mission is to deliver data-driven analytical solutions that empower sellers to thrive on Amazon's global platform. We specialize in constructing and maintaining intricate standard data pipelines that are used by thousands of users across the globe to measure, derive and analyze performance of the sellers selling on Amazon.

We are currently in search of a brilliant, self-driven, and seasoned Data Engineer I to join our team. In this role, you will have the opportunity to work on a major data warehouse migration project. This project includes building extensive data models and complex ETL pipelines and collaboration with global business and technical leaders

Key job responsibilities

As a Data Engineer at Amazon, you will work collaboratively with senior DE, BIE, product manager and other stakeholders to build data solutions that are stable and performant. Specifically, you will transport and process data between databases and files into databases, understand the business logic and design the suitable data model and drive resolution of data quality issues with source teams.

About The Team

The International Seller Services Central Analytics (ISS-CA) team is a highly specialized, cross-functional group tasked with driving critical business insights and breakthroughs. Composed of experts from diverse backgrounds, including scientists, economists, Business Intelligence Engineers, Data Engineers, and Business Analysts, this team is at the forefront of leveraging massive-scale data, advanced analytics, and machine learning techniques.

Basic Qualifications

• Bachelor's degree
• 1+ years of data engineering experience
• Experience with SQL
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with one or more scripting language (e.g., Python, KornShell)
  
  

Preferred Qualifications

• Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
• Knowledge of AWS Infrastructure
• Experience with database, data warehouse or data lake solutions
• Experience with industrial database migration
  
  

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.