Skills:
ClickHouse, node cluster, ClickHouse database, Hadoop, Spark, kafta, DevOP stacks,
Below is the JD for Click House Database
Helping build production-grade systems based on ClickHouse: advise how to design schemas, plan clusters etc. Environments range from single node setups to clusters with 100s of nodes,
Cloud, managed ClickHouse service.
Working on infrastructure projects related to ClickHouseImproving ClickHouse itself fixing bugs, improving docs, creating test-cases, etc.Studying new usage patterns, ClickHouse functions, & integration with other products.Working with the community GitHub, Stack Overflow, Telegram.Installation multiple node cluster , configure, backup and recovery and maintain ClickHouse database.Monitor and optimize database performance, ensuring high availability and responsiveness.Troubleshoot database issues, identify and resolve performance bottlenecks.Design and implement database backup and recovery strategies.Develop and implement database security policies and procedures.Collaborate with development teams to optimize database schema design and queries.Provide technical guidance and support to development and operations teams.Experience with big data stack components like Hadoop, Spark, Kafka, Nifi, Experience with data science/data analysisKnowledge of SRE / DevOP stacks monitoring/system management tools (Prometheus, Ansible, ELK, )Version control using gitHandling support calls from customers using ClickHouse. This includes diagnosing problems connecting to ClickHouse, designing applications, deploying/upgrading ClickHouse, and operations
Jio · Mumbai Metropolitan Region (On-site)
nan
https://www.linkedin.com/jobs/view/4212295986
