ADCI
Technology
SeniorDataEngineer,AlexaALICE(AILogisticsforInfrastructure,Cost,&Efficiency),AlexaAILogisticsforInfrastructure,Cost,&Efficiency
“Senior Data Engineer, Alexa ALICE (AI Logistics for Infrastructure, Cost, & Efficiency), Alexa AI Logistics for Infrastructure, Cost, & Efficiency at ADCI. Skills: Data engineering, Data architecture, Pipeline automation, Big data. Architect and deliver exemplary data solutions. Lead the architectural vision and strategy”
What You'll Achieve.
Reshape how Amazon develops and deploys large scale AI systems; Influence teams/products across internal Amazon and AWS; Provide system-wide architectural guidance; Provide design leadership; Enable BI self-service tools; Optimize operational data storage; Process semi-structured data streams; Architect self-service business intelligence infrastructure; Ensure team's continued success; Enable autonomous operation; Make the team stronger; Provide long-term business value
Industry & Context.
Dive deep; Make sophisticated architectural trade-off decisions; Address scale challenges; Balance scale and optimization; Address ambiguous problem areas; Resolve root causes
What They're Looking For.
Must Have
6+ years of data engineering experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines, Experience with MPP databases, Experience in at least one modern scripting or programming language, Experience building data products incrementally, Experience integrating and managing data sets from multiple sources, Experience building/operating highly available, distributed systems, Experience with data extraction, Experience with data ingestion, Experience with processing of large data sets, Experience mentoring team members
Nice to Have
Master's degree, 7+ years of data engineering experience, 7+ years database engineering experience, 7+ years business intelligence experience, 7+ years business analytics experience, Experience providing technical leadership, Experience operating large data warehouses
What You'll Do.
Architect and deliver exemplary data solutions
Lead the architectural vision and strategy
Solve complex big data warehousing problems
Tackle complex and hard data problems
Break down complex challenges into straightforward iterative solutions
Set the standard for data engineering excellence
Define best practices
Drive continuous improvement across data pipelines
Drive continuous improvement across data models
Drive continuous improvement across analytics processes
Drive the implementation of data engineering best practices
Implement data discovery
Implement naming conventions
Implement operational excellence
Implement data security
Collaborate with software engineers
Collaborate with other data engineers
Invent data solutions
Design data solutions
Communicate technical concepts
Communicate tradeoffs
Take ownership of reoccurring pain points
Mentor junior team members
How You'll Work.
Team & Collaboration
Cross-functional technical community; Upstream and parallel dependencies; Legacy systems; Enterprise golden sources; Financial analysts; Engineering service owners; Leadership personas; Software engineers; Data engineers; Junior team members
Communication Scope
Technical concepts; Tradeoffs; Build consensus; Alignment
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