Amazon Data Engineer Sales Insights Science 

United States, Washington, Seattle 

128597139

In this role, you will serve as the expert in designing, implementing, and operating a stable, scalable, low cost environment to flow information from the data warehouse into end-user facing reporting applications such as Tableau or AWS QuickSight. Above all, you will bring large datasets together to answer business questions and drive data-driven decision making. The current focus areas include ML data connectors, data import, and preparation, with opportunities to work on GenAI RAG projects along with data pipelines for GenAI Reporting.
Key job responsibilities
- Plan, design, implement, and manage a deployment of self-service data visualization platform, in Tableau
- Create ETL procedures and SQL queries to bring data in from data warehouse and alternate data sources- Establish scalable, efficient, automated processes for large scale data analyses
- Support the development of performance dashboards that encompass key metrics to be reviewed with senior leadership and sales management
A day in the life- At Amazon, we have a credo of “Work hard. Have fun. Make history”. In this role, you will love what you do, and instinctively know how to make work fun. You will be dynamic and creative, and willing to take on any challenge and make a big impact.
- Display flexibility to manage shifting priorities and influence in the face of ambiguity. You will help create critical business process for a rapidly evolving organizationDiverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance
About Sales, Marketing and Global Services (SMGS)Seattle, WA, USA

- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines