Job Description

: Participate in the system architecture design, optimization, and maintenance of OLAP engines such as Apache Druid and Presto/Trino. Engage in system performance tuning and troubleshooting, ensuring service stability and high availability. Collaborate with the product team to develop and optimize features based on business requirements. Collaborate with the platform team to integrate and coordinate OLAP engines with other systems to meet user\'s requirements. Write and maintain related technical documentation, ensuring knowledge consolidation. Analyze and solve user problems with OLAP engines by combining user scenarios. Requirements: Bachelor\'s degree or higher in Computer Science, Information Technology, Engineering or other related disciplines. Minimum 2 years of practical experience in data engineering or data science, demonstrating expertise in the Big Data domain, particularly in the OLAP domain. Fresh graduates are welcome to apply. Exhibits a deep understanding of the architecture and internal mechanisms of at least one OLAP engine. Proficiency in Java, HDFS, Kafka, Spark, YARN, or other relevant technologies, supported by practical project experience. Familiar with cloud-native technologies, especially Kubernetes. Exceptional team collaboration and communication skills, with the ability to respond promptly and effectively resolve issues. A strong foundation in algorithms and a proven ability to solve complex problems. Demonstrates in-depth research or contributions to the source code of Apache Druid or Trino. Actively participates in the open-source community, with priority given to individuals holding the status of Committer or PMC Member.

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