Amazon /Slovakia/ s. r. o.
Finance
SystemsAdmin,GlobalDataAnalytics(GDA)
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“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
Full Job Description
Are you an experienced Business Intelligence Engineer or Systems Admin interested in an opportunity to help drive Amazon’s flywheel and develop your A to Z business understanding? Do you enjoy learning about different businesses while driving innovation in the data and analytics space? Amazon Finance Operations (FinOps) is looking for a highly skillful Systems Admin to be part of the Global Data & Analytics Team (GDA). As a professional at Amazon FinOps, you will directly impact business outcome and have the opportunity to work on some of the world's largest data sets, influence the long-term evolution of our data analytics capability and help build data driven operational activities in ever changing business environments. The candidate is expected to possess industry best practices for building reporting solutions. The candidate is expected to have background in the AWS technology stack (S3, Glue, IAM, Redshift) and must have extensive experience with all standard data warehousing technical components (e.g. ETL, Reporting, and Data Modelling), infrastructure (hardware and software) and its integration, writing optimized SQL queries, excellent problem-solving ability. Written and verbal communication skills are required as the candidate will work very closely with a diverse, global team. Ability to create and manage work plans, timelines and accommodate multiple priorities is required. This is a technical lead role responsible to design, implement and scale: (1) Security and Governance to protect sensitive data, define access controls ensuring compliance with regulatory requirements, (2) Permissions strategy, (3) Policies and procedures for other engineers to ensure published content meets quality and performance benchmarks, and (4) DevOps and ML Ops. The role will also drive collaboration among BI engineers and foster knowledge sharing and act as a SPOC for the data engineering teams. Key job responsibilities - Optimize and organize data pipelines into the visualiz
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