Company: Amazon.com, Inc.
Posted on: June 13, 2021
Are you passionate about leveraging data to deliver actionable
insight that impacts daily business decision of Amazon? Does the
prospect of dealing with massive volume of data excite you? Do you
want to build a cutting-edge highly scalable analytics platform
using AWS technologies?
The Team: We are one of the dev teams within Region Services
that works on the tooling that helps us deploy and track services
to every AWS region around the globe. This team will have the
opportunity to work on highly visible projects that directly impact
hundreds of other teams at Amazon.
Engineers at Amazon work on real world problems on a global
scale, own their systems end-to-end, and influence the direction of
our technology that impacts hundreds of millions customers around
the world. Join a team of super smart, customer obsessed developers
that think big and have fun.
The right candidate will possess excellent business and
communication skills, be able to work with business owners to
develop and define key business questions, and be able to
collaborate with Software Developers and Technical Program Managers
to analyze data that will answer those questions. You should have a
solid understanding of how to build efficient and scalable data
infrastructure and data models.
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
14 Leadership Principles, which remind team members to seek diverse
perspectives, learn and be curious, and earn trust.
We are dedicated to supporting our new team members. Our team
has a broad mix of experience levels and Amazon tenures, and we're
building an environment that celebrates knowledge sharing and
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.
- Bachelor's degree in Computer Science, MIS, related technical
field, or equivalent work experience.
- 5 or more years' of overall work experience in a related field,
including 3 or more years analytics, data engineering or related
- Proven experience in data modeling, ETL development, and data
warehousing, or similar skills
- Demonstrable skills and experience using SQL with large data
sets (e.g. Oracle, SQL Server, Redshift)
- Experience with AWS technologies including Redshift, RDS,
- Proven track record of successful communication of data
infrastructure, data models, and data engineering solutions through
written communication, including an ability to effectively
communicate with both business and technical teams
- Industry experience as a Data Engineer or related specialty
(e.g., Software Engineer, Business Intelligence Engineer, Data
Scientist) with a track record of manipulating, processing, and
extracting value from large datasets.
- Coding proficiency in at least one modern programming language
(Python, Ruby, Java, etc)
- Experience building/operating highly available, distributed
systems of data extraction, ingestion, and processing of large data
- Experience building data products incrementally and integrating
and managing datasets from multiple sources
- Query performance tuning skills using Unix profiling tools and
- Experience leading large-scale data warehousing and analytics
projects, including using AWS technologies - Redshift, S3, EC2,
Data-pipeline and other big data technologies
- Experience providing technical leadership and mentor other
engineers for the best practices on the data engineering space
- Linux/UNIX including to process large data sets.
- Experience with AWS
- Meets/exceeds Amazon's leadership principles requirements for
- Meets/exceeds Amazon's functional/technical depth and
complexity for this role
- Please email AWS Sourcing Recruiter, Scott Korkowski
(firstname.lastname@example.org) if you have questions.
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.
This role will sit in our new headquarters in Northern Virginia,
where Amazon will invest $2.5 billion dollars, occupy 4 million
square feet of energy efficient office space, and create at least
25,000 new full-time jobs. Our employees and the neighboring
community will also benefit from the associated investments from
the Commonwealth including infrastructure updates, public
transportation improvements, and new access to Reagan National
By working together on behalf of our customers, we are building
the future one innovative product, service, and idea at a time. Are
you ready to embrace the challenge? Come build the future with
Keywords: Amazon.com, Inc., Arlington , Data Engineer, Other , Arlington, Virginia
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