What you’ll do:
 Work with solution architect, technical lead and development team, design, build and run data platform on cloud and on-premise.
 Selecting and integrating any Big Data tools and frameworks required to provide requested platform capabilities.
 Develop and manage integration tools to facilitate effective platform operations across other disciplines of production service management.
 Provide proactive support to platform tenants.
What you will need to succeed in the role:
 Candidate should hold a university graduate certificate majored in IT or equivalent experience.
 A minimum 2 years of significant working experience in software requirement, design, development, testing and support.
 Experience on Cloud technologies, includes but not limited on Docker, Kubernetes. Project experiences on Google Cloud Platform is a plus.
 Deep understanding on the Cloud Infrastructure Architecture which includes Network, OS, permission control etc.
 Strong experiences in Python/Java/Shell development. Full stack data engineer is preferred.
 Strong experience on design and implement DevOps Continuous Integration / Continuous Delivery (CI/CD) Pipleline with DevOps tooling such as Jenkins, Git, Ansible, etc
 Familiar with open source stacks like Airflow, Spark, Flink, Apache Beam, Kafka, Trino, .etc
 Experiences in Hadoop ecosystem, deep understanding on the Big Data Architecture is a plus.
 Good command in spoken and written English as working language
 Work closely with both local and global teams on the project delivery with agile/DevOps manners.
 A good team player with strong analytical/troubleshooting skills, and self-motivated"

其他信息
语言要求：英语