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ZDP-Senior Data Platform & Operation Engineer
2-4万
人 · 本科 · 5-7年工作经验 · 性别不限2024/11/18发布
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浦东新区

低价好房出租>>

中国(上海)自由贸易试验区美约路60号

公司信息
卡尔蔡司(上海)管理有限公司

外资(欧美)/1000-5000人

该公司所有职位
职位描述
Position Summary
We are seeking a highly skilled and experienced Data Platform & Operations
Engineer to join our team. The ideal candidate will be responsible for setting
up and maintaining our data platform infrastructure, ensuring smooth daily
operations, and implementing robust CI/CD processes. This role also involves
managing disaster recovery strategies to ensure data integrity and
availability. The successful candidate must be an expert in infrastructure as
code (Terraform), possess a strong understanding of networking, and have
extensive experience with cloud-based data solutions, particularly within the
Azure ecosystem.

Requirements
Minimal Qualifications:
- Bachelor’s degree in computer science, Information Technology, or a related
technical field.
- 5+ years+ experience in setting up and managing cloud-based data platform
infrastructures and CICD pipelines.
- Expertise in using Terraform for infrastructure provisioning, management,
and automation, particularly within the Azure ecosystem.
- Strong knowledge of network configurations, Azure VNET, DNS, load balance,
peering and private end-point.
- Strong problem-solving skills and the ability to troubleshoot complex data
and infrastructure issues.
- Excellent verbal and written communication skills in English

Preferred Qualifications:
- Microsoft Certifications of cloud administration, DevOps Engineer Expert
etc.

Job Description
Main Tasks
- Data Platform Infrastructure Setup: Design, implement, and maintain robust
data platform infra-structure to support the organization's data needs by
applying global infra as a code core module to China 21V Azure
- Daily Operations: Oversee the daily operations of the data platform,
ensuring seamless performance, reliability, and scalability.
- CI/CD Setup and Process Control: Develop and manage Continuous
Integration/Continuous Deploy-ment (CI/CD) pipelines to automate and streamline
data processes.
- Disaster Recovery: Implement and manage disaster recovery plans to ensure
data integrity and availa-bility in case of system failures or other
emergencies.

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