Are you an experienced DevOps 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 visualization environment (QuickSight); contribute to data design, data modelling and data extracts/transforms.
- Build and manage ML pipelines, adapting CI/CD practices, model deployment, orchestration.
- Work on the governance foundations of the analytics environment for the GDA team.
- Define technical requirements for Data Engineering teams.
- Review technical work of other team members, provide improvement advice.
- Provide input and recommendations on technical issues for the Data Engineering team.
- Work in a genuinely global environment.

About the team
Global Data Analytics (GDA) empowers the world’s largest Accounts Receivable (AR) and Payable (AP) departments to deliver large scale business outcomes through advanced data capabilities and real time, actionable insights. GDA’s mission is "As trusted and business-focused analytics partners, we provide timely data, analytics, and insights across Service Centers (SCs) and global functions. We are custodians of data and metrics definitions. We apply science methods to large-scale transactional processes."

Basic Qualifications

- 4+ years of site reliability engineering (SRE), systems engineering, systems administration, DevOps, security administration, or network administration experience
- 5+ years of Linux experience
- 5+ years of systems engineering experience
- Bachelor's degree in Systems Engineering, Computer Science, or related field or relevant work experience
- Experience in site reliability engineering (SRE), systems engineering, systems administration, DevOps, security administration, or network administration
- Experience working with Linux
- Experience in systems engineering
- Experience in any of the following: Python, Java, Perl, PHP, Ruby, Bash, Shell or equivalent

Preferred Qualifications

- Knowledge of TCP/IP and networking protocols such as HTTP and DNS
- Experience designing and developing scripts to automate operational burdens and reviewing scripting changes to ensure they meet the standards for maintainability, scalability and security
- Experience working in 24/7 production environment
- Experience with service-oriented architecture and web services

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