Data Engineer , AWS Infrastructure Supply Chain Intelligence

Amazon • Bellevue, WA

1d

About The Position

AWS Infrastructure Services owns the design, planning, delivery, and operation
of all AWS global infrastructure. In other words, we’re the people who keep the
cloud running. We support all AWS data centers and all of the servers, storage,
networking, power, and cooling equipment that ensure our customers have
continual access to the innovation they rely on. We work on the most challenging
problems, with thousands of variables impacting the supply chain — and we’re
looking for talented people who want to help.

You’ll join a diverse team of software, hardware, and network engineers, supply
chain specialists, security experts, operations managers, and other vital roles.
You’ll collaborate with people across AWS to help us deliver the highest
standards for safety and security while providing seemingly infinite capacity at
the lowest possible cost for our customers. And you’ll experience an inclusive
culture that welcomes bold ideas and empowers you to own them to completion.

We are looking for a talented Data Engineer to join the Manufacturing
Operations, Transportation Operations, and Reverse (MOTOR) organization in
support of our Supply Chain Intelligence team. MOTOR manages the manufacturing
of datacenter racks and the movement of racks/parts through the supply chain,
consisting of transportation, warehousing, and reverse logistics into and out of
the data centers. This role performs helps connect the different systems across
the supply chain together so operational teams have clean, actionable data to
work with. This requires someone with strong analytic skills and business acumen
who can work with stakeholders on strategic projects across MOTOR.

The ideal candidate relishes working with large volumes of data, enjoys the
challenge of highly complex technical contexts, and, above all else, is
passionate about data and analytics. Must be an expert working with data
modeling with un/structured data, ingestion pipelines and ETL design and
business intelligence tools with the business to identify strategic
opportunities where improvements in data infrastructure creates out-sized
business impact. Candidate is a self-starter, comfortable with ambiguity, able
to think big (while paying careful attention to detail), mentors other engineers
in team on high quality tech, and enjoys working in a fast-paced team. Candidate
will have a chance to architect the data pipelines needed for optimization and
predictive analysis. We're excited to talk to those up to the challenge!

Requirements

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

Nice To Haves

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

Responsibilities

• Build and maintain the infrastructure to answer questions with data, using software engineering best practices, data management fundamentals, data storage principles, recent advances in distributed systems, and operational excellence best practices. Build datasets that analysts and scientists use to generate actionable insights.
• Define the data engineering processes that leverage various AWS services to improve accessibility, redundancy, data integrity, cost, and storage requirements.
• Develop high quality solutions for the faster development of the products/models that solve the business needs in a scalable format, while also anticipating future requirements.
• Collaborate with Research/Applied Scientists, Data Engineers, Business Intelligence Engineers, Data Scientists, Business Analysts, and Product/Program Managers to understand the business and technical requirements, and make decisions that help make the products/programs smoother.
• Interface with other technology/data engineering teams to extract, transform, and load data from a wide variety of data sources using and AWS data technologies.
• Lead the technical design and implementation of the data infrastructure.
• Design and manage data audit, quality, and reconciliation processes in collaboration with various stakeholders.

Benefits

• Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed