Data Engineering Manager III, AWS Supply Chain Operations

Amazon • Arlington, VA

1d

About The Position

We are looking for a seasoned Data Engineer Manager to join the Manufacturing
Operations, Transportation Operations, and Re:Cycle (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 will lead a new team of junior and mid-level Data Engineers and
Business Intelligence Engineers responsible for connecting the different systems
across the supply chain together so operational teams have clean, actionable
data to work with. The ideal candidate excels in soft skills necessary to help
the team form, establish its business rhythms, and begin delivering results.
They must enjoy training, mentoring, and growing subordinates while working with
large volumes of data in a global, highly complex technical context.

On the technical side, the candidate must be passionate about data and
analytics. They must be an expert working with data modeling with un/structured
data, ingestion pipelines and ETL design, and business intelligence tools to
identify strategic opportunities where improvements in data infrastructure
creates out-sized business impact. They must be a self-starter, comfortable with
ambiguity, able to think big (while paying careful attention to detail), and
mentors other engineers on data engineering best practices.

With a global supply chain supporting 123 Availability Zones within 39
Geographic Regions, data is everywhere. Your purpose is to develop and implement
the digital strategy for supply chain operations, working across manufacturing,
logistics, facilities, and supply chain planning organizations. You will heavily
influence make vs buy decisions for applications, system architectures/design,
and master data management strategies.

This team provides data engineering and business intelligence engineering
services to the rest of MOTOR. We are the data experts behind the scenes helping
the operational teams focus on operations by ensuring they have accurate, timely
data and provide business insights to help improve operational excellence.

Amazon values diverse experiences, and our team is no different. You will join a
team with members in different countries, backgrounds, and perspectives. 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 hasn’t followed a
traditional path or includes alternative experiences, don’t let it stop you from
applying.

We value work-life harmony. Achieving success at work should never come at the
expense of sacrifices at home, which is why we strive for flexibility as part of
our working culture. When we feel supported in the workplace and at home,
there’s nothing we can’t achieve in the cloud.

Here at AWS, it’s in our nature to learn and be curious. Our employee-led
affinity groups foster a culture of inclusion that empower us to be proud of our
differences. Ongoing events and learning experiences, including our
Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us
to never stop embracing our uniqueness.

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.

Requirements

• 2+ years of processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) experience
• 2+ years of relational database technology (such as Redshift, Oracle, MySQL or MS SQL) experience
• 2+ years of developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes) experience
• 5+ years of data engineering experience
• Experience managing a data or BI team
• Experience communicating to senior management and customers verbally and in writing
• Experience leading and influencing the data or BI strategy of your team or organization
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

Nice To Haves

• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
• Experience with AWS Tools and Technologies (Redshift, S3, EC2)

Responsibilities

• Lead and manage a team of junior and mid-level data engineers and business intelligence engineers
• Establish team business practices, roles and responsibilities, and professional development opportunities
• Build and maintain the data infrastructure to answer business questions with data using data engineering best practices
• Define the data engineering processes that leverage various AWS services to improve accessibility, redundancy, data integrity, cost, and storage requirements.
• Collaborate with 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

• 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
• parental leave

What This Job Offers

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