Amazon Sr Data Engineer AWS WWFE - Analytics Reporting Operations Governance 

United States, Washington, Seattle 

573244444

Key job responsibilities
The Senior Data Engineer will:
Collaborate with WWFE's business leaders and economists to identify data engineering requirements
Lead the technical design of WWFE's reporting, analysis and data management solutionsLead and coach junior data engineers on the best practices
Build robust and scalable data integration (ETL) pipelines using SQL/EMR/Python
Improve overall data architecture using innovative approaches and new processes from AWS stack or open source
Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentationA day in the life
As a WWFE Sr. Data Engineer, you will be empowered to innovate on a daily-basis with access to any tools you believe will do the job at hand best. You will be supported by a diverse team of fellow DEs, BIs, SDEs, and PMs. Your work will directly enable the data solutions for all of WWFE and will include, though not limited to, setting up and managing data infrastructure (Redshift, Aurora, Airflow, S3 etc.), enabling data self-serve for tech stakeholders and developing the backend logic (typically in Python) for our in-house tools supporting the WWFE business. You will also coach, mentor and learn.About the team
Diverse Experiences
Amazon 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.Why AWSWork/Life BalanceInclusive Team CultureMentorship and 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.

- 7+ years of data engineering, database engineering, business intelligence or business analytics 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
- Experience mentoring team members on best practices
- Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
- Experience with SQL