Data Engineer II, US3P Analytics

Data Engineer

Our team is passionate about Sellers on Amazon - we help them grow their businesses and serve their customers. How do we do this? Data! Help us better serve Sellers so they can run their businesses more effectively. We're seeking an innovative Data Engineer to join our team to transform how Amazon's NA Seller Success Business leverages data for strategic decision-making. From Day 1, you'll own critical data infrastructure that powers insights for 900+ stakeholders. This role offers the autonomy to architect solutions, make technical decisions, and drive significant impact on Amazon's seller ecosystem through data-driven innovations.

Strategic Impact:

You'll establish and own key data frameworks that enable business insights across our NA Seller marketplace, driving standardization and reliability in how we deliver critical analytics to our stakeholder community. You'll be at the forefront of building data solutions that directly impact the success of our global seller community and business stakeholders.

In the role, you will work closely with scientists, product managers and BIEs to build out infrastructure, data pipelines, and reporting mechanisms for our team. Key job responsibilities:

Our Data Engineer duties & responsibilities will include:

• Design, build and maintain data & analytics infrastructure for NASBP, including review of tech stack and data landscape
• Drive adoption of data best practices across multiple teams
• Manage AWS resources (EC2, EMR, S3, Glue, Redshift)
• Design and build ETL pipelines, own OE initiatives, cluster migrations and dashboard development
• Define and maintain data governance protocols that balance speed with quality
• Explore and implement latest AWS technologies for enhanced capabilities
• Support BIEs in adopting best practices for ETLs, pipelines, testing, and documentation
• Work with stakeholders and business leaders to translate business needs into scalable data solutions
• Create scalable, future-proof solutions for our growing analytics needs