Responsibilities
- Engage in and improve the whole lifecycle of service, from inception and design, through to deployment, operation, and refinement
- Develop and maintain tools, re-designing capacity planning infrastructure for greater scalability
- Troubleshooting, diagnosing, fixing software issues, and ensuring data security
- Define architecture improvements, and push for changes that improve reliability
Requirements
- Have source code understanding of open-source data groups, such as HDFS, HBase, YARN, Spark, Flink, Airflow, Kyuubi, ZK, Kafka, etc.
- Have used at least one automation component tool: Ansible, Terraform, etc.
- In-depth understanding of Linux and computer networks
- Experience in at least one language (Python/Golang/Java, etc.)
- Experience in the public cloud (AWS, GCP, Azure, etc.) management and use is preferred
- Minimum of 5 years of hands-on experience on backend or big data ecosystem
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