We need a Data Engineer! Prime Global Finance enjoys a unique vantage point into everything happening within Amazon. This role will be part of a team that is responsible for managing the data architecture and generating data insights across two of the most impactful and high visibility areas within Amazon: Prime and Lifecycle Engagement.
The DE will partner with teams across finance, marketing, research etc. to design and develop processes and architecture that will enable Business Intelligence Engineers and analysts drive analysis and insights of the business for key stakeholders across the entire Prime and Lifecycle Engagement organizations. You will push traditionally accepted process boundaries and work to automate scalable solutions leveraging AWS and BI tools including but not limited to Tableau, QuickSight, Shiny, etc.
The data flowing through our platform directly contributes to decision-making by WW Prime and Lifecycle Engagement leaders at all levels of organizational leadership. If you're passionate about building tools that enhance productivity, drive decision making, and operate at a scale that is unique even within Amazon, you're looking at the right posting!
Come innovate with Prime Finance BI team!
Responsibilities of this position include:
Working with stakeholders and other engineering teams to identify and scope the right data architecture and technology to be used to facilitate analysis of most common Amazon customer behavioral questions.
Partnering with partner engineering teams to enhance data infrastructure, data availability, and broad access to customer insights made available through BI tools across the organization.
Design, build and implement the right ETL processes using AWS and similar technologies.
Implement anomaly detection systems to have a proactive approach to any potential data quality issues, using industry standard frameworks.
Enable large scale analytics using EMR and other big data technologies.
Establishing and implementing technology best practices that should be followed across the organization.
Work on proof of concepts for adoption of new technology and tools.