Data Engineer Internship Amazon Jobs in Seattle, WA

Amazon Web Services (AWS), World-Wide Public Sector Reporting and Analytics team is seeking a Data Engineer with broad technical skills to help build the infrastructure and tools required to support our Global Sales & Operations Organizations.
In this role, the ideal candidate will be responsible for developing and managing big data systems using advanced data engineering knowledge in the data warehousing space and redefining best practices with a cloud-based approach to scalability and automation. Additionally, you will be responsible for scaling our existing infrastructure, incorporating new data sources, and building robust data pipelines for production level systems. In partnership with machine learning engineers, business intelligence engineers and analysts, you will work backwards from our business questions to build reliable and scalable data solutions to meet the business needs

Finally, this individual will work closely with project management teams to ensure proper guidance, use cases, and documentation is available to our Sales and Operations teams.
Key job responsibilities
Architect and implement scalable, reliable, and secure data pipelines and infrastructure to support analytics, reporting, and business operations.
Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics.
Build robust and scalable data integration (ETL) pipelines using SQL, Python and AWS services such as Data Pipelines, Glue
Implementing data structures using best practices in data modeling to provide on-line reporting and analysis using business intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources.
Evaluating and making decisions around dataset implementations designed and proposed by peer data engineers. Mentor junior data engineers.
Manage AWS resources including EC2, Redshift, S3, etc. Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency.
Participating in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance to produce comprehensive, usable dataset documentation and metadata.
About the team
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.
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