
Systems Admin, Global Data Analytics
2 days ago
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.
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
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science, Engineering, Math, Finance, or related discipline.
- Professional experience working with large data sets and writing complex SQL queries to pull data.
- Relevant experience in a BI Engineer or Systems Admin role.
- Python mastery.
- Understanding of DevOps and ML Ops Concepts, version control, CI/CD pipelines, testing and monitoring, infrastructure automation.
- Ability to display complex quantitative data in a simple, intuitive format and to present findings in a clear and concise manner.
- Excellent communication (verbal and written) and interpersonal skills.
PREFERRED QUALIFICATIONS
- Data engineering credentials.
- Advanced analytical skills and is detail-oriented, while also seeing and understanding the big picture.
- Experience working with cloud database technologies such as Amazon Redshift, RDS or Azure DW.
- UI and UX design experience.
Job details
- IND, TS, Hyderabad
- Finance Operations
- Business Intelligence
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