Amazon /Slovakia/ s. r. o.
Finance
SystemsAdmin,GlobalDataAnalytics(GDA)
“Systems Admin, Global Data Analytics (GDA) at Amazon /Slovakia/ s. r. o.. Skills: Data Analytics, Systems Administration, DevOps, ML Ops. Design security and governance. Define access controls”
What You'll Achieve.
Impact business outcome; Influence long-term evolution; Build data driven operational activities
Industry & Context.
Problem-solving ability; Quantitative data display; Complex quantitative data
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, Engineering, Math, Finance, or related discipline, Professional experience working with large data sets, Writing complex SQL queries, Relevant experience in a BI Engineer or Systems Admin role, Python mastery, Understanding of DevOps and ML Ops Concepts, Understanding of version control, Understanding of CI/CD pipelines, Understanding of testing, Understanding of monitoring, Understanding of infrastructure automation, Ability to display complex quantitative data in a simple, intuitive format, Ability to present findings in a clear and concise manner, Excellent communication (verbal and written), Excellent interpersonal skills
Nice to Have
Data engineering credentials, Advanced analytical skills, Detail-oriented, Seeing and understanding the big picture, Experience working with cloud database technologies, UI and UX design experience
What You'll Do.
Design security and governance
Define access controls
Ensure compliance with regulatory requirements
Design permissions strategy
Define policies and procedures
Ensure published content meets quality benchmarks
Ensure published content meets performance benchmarks
Drive collaboration among BI engineers
Foster knowledge sharing
Act as SPOC for data engineering teams
Optimize data pipelines
Organize data pipelines
Contribute to data design
Contribute to data modelling
Contribute to data extracts
Contribute to data transforms
Adapt CI/CD practices
Orchestrate ML pipelines
Work on governance foundations
Define technical requirements
Review technical work
Provide improvement advice
Provide input on technical issues
Provide recommendations on technical issues
Work in a global environment
How You'll Work.
Team & Collaboration
Diverse global team; Data engineering teams; BI engineers
Communication Scope
Written communication; Verbal communication; Present findings
Process & Methodology
Work plans, Timelines, Multiple priorities
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