Description The JP Economics and Decision Science team is a central science team working across a variety of topics in the Retail business and beyond. We work closely with business leaders to drive change at Amazon. We focus on solving long-term, ambiguous and challenging problems, while providing advisory support to help solve short-term business pain points. Key topics include pricing, product selection, delivery speed, profitability, and customer experience. We tackle these issues by building novel economic/econometric models, machine learning systems, and high-impact experiments which we integrate into business, financial, and system-level decision making. We are looking for a Senior Data Engineer to help put SOTA economic and data science models into production. We are looking for a individual who is interested in working with the latest big data technology (Spark, EMR, Glue, SageMaker, and Airflow) and collaborate with Economist and Scientist in creating scalable solutions for our multiple Retail Businesses. Key job responsibilities - Partnering with economists and senior team members in building an environment of large high-quality datasets - Create and support AWS based data platforms that leverage diverse data sources across Amazon, that feed input to and serve output from machine learning / econometric models - Help us move faster by building fast prototypes that help us prove out our ideas - Develop and extend reusable libraries for quickly rolling out new data pipelines - Create and drive data governance strategies for disparate data sources across the company - Create and review technical requirement and design documents, working backward from customer needs Basic Qualifications - 5+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with SQL - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS - Experience mentoring team members on best practices Preferred Qualifications - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR 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.