Data Engineer, Prime Video Content Analytics

Job description

DESCRIPTION

Amazon has an immediate opening for a Data Engineer to support the Prime Video Content Analytics team in Seattle, WA.

In this role you will:
- Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics in support of prime video content analytics.
- Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL, Oracle, Redshift, and OLAP technologies.
- Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture.
- Analyze source data systems and drive best practices in source teams.
- Participate in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance.
- Produce comprehensive, usable dataset documentation and metadata.
- Evaluate and make decisions around dataset implementations designed and proposed by peer data engineers.

Desired profile

BASIC QUALIFICATIONS

- 3+ years of relevant experience in business intelligence role, including data warehousing and business intelligence tools, techniques and technology, as well as experience in diving deep on data analysis or technical issues to come up with effective solutions
- BS degree in math, statistics, computer science or equivalent technical field
- Experience in data mining structured and unstructured data (SQL, ETL, data warehouse, Machine Learning etc.) in a business environment with large-scale, complex data sets
- Proven ability to look at solutions in unconventional ways. Sees opportunities to innovate and can lead the way