Amazon Business Intelligence Engineer II AWS Product BI 

United States, Washington, Seattle 

590490901

Utility Computing (UC)About AWSDiverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.
Work/Life BalanceMentorship & 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.
Key job responsibilities
- Work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.- Conduct ad hoc data analysis and data quality investigations.
- Design and implement an analytical environment using third-party and in-house reporting tools, modeling metadata, building reports and dashboards.Work/Life BalanceThis position involves on-call responsibilities, typically for one week every two months. We don’t like getting paged in the middle of the night or on the weekend, so we work to ensure that our systems are fault tolerant. When we do get paged, we work together to resolve the root cause so that we don’t get paged for the same issue twice.Mentorship & Career Growth

- - Bachelor's Degree in Computer Science or a related technical field, and solid years of relevant experience.
- - 5+ years of experience with and detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures.
- - 5+ years of experience with relational and star schema data modelling concepts with a solid knowledge of SQL and PL/SQL.
- - 2+ years of large IT project delivery for BI oriented projects.
- - 2+ years of working with very large data warehousing environment