Amazon DATA ENGINEER AWS Training Certification 

United States, Washington, Seattle 

73109001

As a Data Engineer at AWS, you will act as a technical leader working across multiple engineering teams and projects to contribute to the system design, technology selection, software quality, and operational excellence for our current and future products and services. You will help engineers raise the bar in these and other areas by acting as a coach, mentor, and technical expert, and by helping the teams improve their engineering processes and mechanisms to achieve scale.Specific responsibilities include the following:
- Design, implement and support an analytical data infrastructure providing ad-hoc access to large datasets and computing power- Managing AWS resources including Lambda, Glue, DynamoDB, LakeFormation, et cetera
- Explore and learn the latest AWS technologies to provide new capabilities and increase efficiencyKey job responsibilities
In this job, you will:
• Work with business leaders, product managers, Business Intelligence Engineers, and Data Scientists to ideate business friendly software solutions.
• Design client-side and server-side architecture.
• Develop visually appealing front end website architecture, including translating designer mock-ups and wireframes into front-end code.
• Develop functional databases, applications, and servers to support websites on the back end.
• Write effective APIs.
• Test software to ensure responsiveness and efficiency.
• Troubleshoot, debug and upgrade applications.
• Create security and data protection settings.
• Build features and applications with a mobile responsive design.
• Develop technical specifications and write technical documentationAbout 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 AWS
Work/Life BalanceMentorship 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.

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