Business Intelligence and Data Analytics

4 days ago


Jakarta, Indonesia Shopee Full time

DepartmentBusiness Intelligence and Data Analytics- LevelExperienced (Individual Contributor)- LocationIndonesia - JakartaThe Business Intelligence and Data Analytics team plays a critical role in conducting close-loop data-driven business iterations. As business intelligence specialists and data analysts, our scope of work is not limited to just performance monitoring and reporting, but also in proactively finding actionable insights to help drive high-impact business changes. Our end-to-end data solution reduces the gap between the business teams and technical teams, and achieves real ‘intelligence’ in the iteration cycle. Browse our Business Intelligence and Data Analytics team openings to see how you can make an impact with us.
- Your tasks as a Data Platform DevOps Engineer at Shopee will include but are not limited to:
- Responsible for feature deployment, automation, integration, and local server architecture and maintenance
- Create and maintain optimal product feature architecture
- Design and implement continuous delivery systems for agile development
- Able to do configuration management & provide support for GCP and on-premise resources as needed
- Liase with data platform engineers and Site Reliability Engineering team on feature development, infrastructure management, performance assessment and monitoring
- work with stakeholders including the Business Intelligence Analyst and Engineer to assist with data-related technical issues and support their data infrastructure needs

**Requirements**:
**Requirements**:

- Bachelor's or Master's degree in Computer Science/ Information Systems or any related field
- Sufficient knowledge in Linux (especially Ubuntu/Debian distribution) and bash scripting language (Bash, Python & Go)
- Sufficient experience in using container orchestration tool (Docker swarm or Kubernetes)
- Sufficient in using open-source automation tools (Git, Jenkins, Ansible)
- Prior experinece within Automation area of expertise using Cloud Infrastructures Services
- Experience in managing on-premise infrastructures
- Familiar with data management
- Previous experience related to data architecture or software development
- Exposure in using big data related tools (freelance / solid private projects will be considered)
- Ability to work in a dynamic, agile development environment



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