Amazon.com Services LLC
Supply Chain
DataEngineeringManagerIII,AWSSupplyChainOperations
Neural analysis suggests this role is
optimal for Manager candidates.
“Data Engineering Manager III, AWS Supply Chain Operations at Amazon.com Services LLC. Skills: Data Engineering, Business Intelligence, Team Management. Lead and manage a team. Establish team business practices”
What You'll Achieve.
Deliver actionable data; Improve data accessibility; Improve data redundancy; Improve data integrity; Optimize storage requirements; Improve operational excellence
Industry & Context.
Think big; Attention to detail
What They're Looking For.
Must Have
2+ years processing data with massively parallel technology, 2+ years relational database technology, 2+ years developing large-scale data structures for BI analytics, 5+ years data engineering experience, Experience managing a data or BI team, Experience communicating to senior management, Experience leading and influencing data or BI strategy
Nice to Have
Experience with big data technologies, Experience with AWS Tools and Technologies
What You'll Do.
Lead and manage a team
Establish team business practices
Build and maintain data infrastructure
Define data engineering processes
Collaborate with Data Engineers
Interface with other technology teams
Lead technical design
Implement data infrastructure
Design data audit processes
Manage data quality processes
Develop digital strategy
Influence make vs buy decisions
How You'll Work.
Team & Collaboration
Data Engineers; Business Intelligence Engineers; Data Scientists; Business Analysts; Product Managers; Program Managers; Technology teams
Communication Scope
Verbal communication; Written communication
Full Job 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 w
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