The most important question the Economics and Science team trying to answer includes: What are the long-term impacts of our initiatives? · Build and deliver high quality data architecture and pipelines to support scientists' modeling needs and finance managers' reporting needs. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Preferred Qualifications - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Amazon is committed to a diverse and inclusive workplace. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits.
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