Description
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.
Key job 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.
A day in the life
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.
About the team
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.
Basic Qualifications
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
Preferred Qualifications
Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Experience with AWS Tools and Technologies (Redshift, S3, EC2)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. 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. Learn more about our benefits at https://amazon.jobs/en/benefits .
USA, VA, Arlington - 170,000.00 - 230,000.00 USD annually
USA, WA, Bellevue - 170,000.00 - 230,000.00 USD annually
