What are the responsibilities and job description for the Data Engineer - Innovate on a New Platform in AWS position at Amazon?
DESCRIPTION
Job summary
Do you want to innovate on a new platform with Amazon Web Services (AWS)?
Come join our teams in AWS, you’ll help us design and deliver data engineering solutions that enables AWS to expand our operations into new data centers worldwide. Our green-field solutions will support programs in compliance and sustainability, and build a platform that will extend to first-class AWS services. You will collaborate with engineers designing data solutions at scale.
To succeed in this role, you have 4 years of experience and you believe in high standards for writing SQL, building data pipelines with infrastructure as code, code quality, code reviews, testing, and operational excellence. You support your peers to deliver results in a space that operates much like a start-up, with the autonomy to build the right solution from Day One. As a DE with our team, you will collaborate with other engineers on technical direction, strategy with a career opportunity for growth that AWS can offer.
This role is located in Seattle, Portland, San Francisco, San Luis Obispo, Boston, New York City or Arlington. We have flexible work options, enabling you to work at home and in the office when the team collaborates. Our team also puts a high value on work-life balance, family-first approach. We care about your career growth and strive to assign projects based on what will help each team member grow.
About the team
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth as a passionate learner that is motivated to take on challenges.
Work/Life Balance
Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well balanced life—both in and outside of work.
BASIC QUALIFICATIONS
- Bachelor’s Degree in Computer Science or related field, or equivalent experience
- 4 years professional experience in data engineering, business intelligence, data science or related field
- Experience with technologies including Big Data, EMR, EML or similar solutions
- Experience with data management fundamentals and data storage principles
- Experience with distributed systems as it pertains to data storage and computing
PREFERRED QUALIFICATIONS
- Experience with serverless computing, enterprise-wide systems, and AWS products
- Demonstrated strength in data, development, and data warehousing - Experience in Python, Java or other similar languages
- Understanding of Agile software engineering practices
- Meets/exceeds Amazon’s leadership principles requirements for his role
- Meets/exceeds Amazon’s functional/technical depth and complexity for this role
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
