Mission: Maximize data value to enable business insight of L’Oréal China

Objective: Drive DevOps best practice landing within IT Data team

Job Description:
You are a hands-on DevOps engineer who will lead the way for IT Data Team DevOps. Our data applications are now build on CDH and will move to PaaS. The ideal engineer will bring his/her experiences, best practices, and a collaborative attitude to help drive DevOps initiatives. To be successful, one must effectively communicate with multiple development streams within data team to orchestrate the creation/landing of solutions that can scale:

- Build and test code continuously with scripting and programming languages

- Manage, track and document changes to code with source control tools

- Deploy applications via automation with configuration management tools

- Measure performance and environment of application with system & application log tools

Experience / Skills:

Scripting languages, at least 3:
- Java, JavaScript, Perl, Python, Ruby, Go

Programming Languages:
- Scala, NodeJS

Version control, containerizing & CI/CD Implementation:
- GitHUB, Docker, Kubernetes, Nginx, Jenkins

Databases, at least 2:
- MySQL, MSSQL, PostgreSQL, Redis, MongoDB

NoSQL, at least 2:
- ElasticSearch, Kafka, MongoDB, Redis

PaaS Platform Services, 1 of following
- Azure, AWS, Ali

Networking concepts:
- Firewalls, NAT, Port, Subnetting, VPC, VPNs
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