Amazon.com Services LLC
Database Administration, Data Engineering, Retail
DataEngineerII,NAStoresExpansion
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer II, NA Stores Expansion at Amazon.com Services LLC. Skills: Data Engineering, ML pipelines, AWS services, Data modeling. Design scalable data models. Develop scalable data models”
Industry & Context.
Solve challenging problems; Dive deep; Determine root causes
What They're Looking For.
Must Have
3+ years of data engineering experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines, Bachelor's degree
Nice to Have
Experience with AWS technologies, Experience with non-relational databases, Usage of generative AI tools, Ability to recognize generative AI opportunities
What You'll Do.
Design scalable data models
Develop scalable data models
Maintain scalable data models
Design ETL/ELT processes
Develop ETL/ELT processes
Maintain ETL/ELT processes
Maintain ML pipelines
Analyze business data
Optimize key processes
Collaborate with cross-functional teams
Deliver data solutions
Implement predictive models
Implement CI/CD pipelines
Ensure data governance
Ensure data compliance
Monitor data infrastructure
Optimize data infrastructure
Enhance data infrastructure
Support machine learning
Stay current with technologies
Mentor junior engineers
How You'll Work.
Team & Collaboration
Cross-functional teams; Applied Scientists; Data Scientists; Software Development Engineers; Product Managers; Business Partners; Leadership
Communication Scope
Written communication; Verbal communication; Clear explanation; Concise explanation; Present findings
Process & Methodology
Automation projects, Modeling projects
Full Job Description
The North American Stores Expansion Team is seeking an experienced and motivated Data Engineer to work on driving strategic projects across multiple geographies. We collaborate with Retail, SCOT (Supply Chain Optimization Technologies), AIT (Amazon Inbound Transportation), Vendor Negotiations, and Canada Product teams to develop scalable analytics applications, AI/ML products, and research models that optimize operations and enable business expansion. The environment is fast-paced with constant new challenges to solve. The ideal candidate will have good leadership skills, proven ability to develop, enhance, automate, and manage analytics models and data pipelines. The candidate will have strong data mining and modeling skills and will be comfortable facilitating idea creation and working from concept through to execution. This role will also build tools and support structures needed to analyze data and dive deep to determine root causes of systems errors. The candidate will also have the opportunity to present findings to cross functional team partners to drive improvements. The ideal candidate will have a proven ability to work with Applied Scientists, Data Scientists, Software Development Engineers, Product Managers and Business Partners to solve challenging analytical problems. The candidate must be comfortable using intellect, curiosity and technical ability to develop innovative solutions to business problems. The position requires ability to learn different aspects of the business and understand how to apply advanced analytics to solve high impact problems. A qualified candidate must have demonstrated ability to manage medium and large scale automation and modeling projects, identify requirements and build methodology and tools that are mathematically grounded but also explainable operationally, apply technical skills allowing the models to adapt to changing attributes. Strong written and verbal communication skills are a must as this role will be in frequent
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