Amazon Data Engineer II Intelligence & Industrialization 

United States, Washington, Bellevue 

866196815

The ideal candidate will work backwards from our customers and stakeholders to understand analytical requirements in the domains of Transportation Procurement as well as Customs & Trade. You get to work with very large datasets, design and build end-to-end ETL and data warehousing solutions. You will leverage AWS services and other Amazon big data technologies, along with engineering best practices to deliver the availability, speed, and scalability required by the business. You will focus on the automation and optimization across all data engineering areas. The ideal candidate should also have strong data engineering and analysis skills and can build BI and ML solutions alongside Business Intelligence Engineers and Data Scientists on the team. The candidate will also work alongside software developers to help build front end web applications with backend data integration.Key job responsibilities
• Design, implement and maintain an analytical data infrastructure providing ad-hoc access to large datasets and computing power
• Monitor and optimize database cluster performance and overall health with the implementation of work load management and other mechanisms
• Extract, transform, and load data from a wide variety of sources using SQL and cloud computing technologies where appropriate
• Implement automated solutions to improve data quality and protect data integrity with a focus on efficiency and scalability
• Work with team members to help develop web interfaces that facilitate data sharing and interactions for internal users and external partners
• Build automation frameworks to integrate with front-end applications and web interfaces
• Collaborate with BI Engineers and Data Scientists to deliver best-in-class data visualization and ML solutions. Enable and enhance BI self-service support for customers
• Construct and maintain data catalog to capture key tables, datasets, metrics, and reports used by business stakeholders

- Bachelor's degree
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS