Hadoop Technical Lead
7 days ago
JobRialto is seeking a highly experienced Senior Hadoop Engineer to lead complex technology initiatives focused on maintaining platform stability, automating monitoring, and providing 24/7 support for Hadoop clusters.
Key Responsibilities- Platform Stability and Incident Management:
- Lead complex technology initiatives focused on Hadoop platform stability and automation.
- Manage and troubleshoot platform incidents, serving as part of a 24/7 platform support team.
- Assess the impact of platform issues, prioritize triaging efforts, and partner with tenants, developers, and vendors.
- Perform root cause analysis of incidents and implement permanent solutions.
- Communicate progress and status updates to stakeholders and leadership.
- Hadoop Cluster Monitoring and Troubleshooting:
- Monitor Hadoop cluster health and performance using tools such as Prometheus, Splunk, and Thousand Eyes.
- Automate monitoring opportunities and fine-tune alert systems for optimal performance.
- Use Autosys or similar scheduling tools to manage platform activities.
- Troubleshoot tenant-reported failures by analyzing logs to identify root causes.
- Hadoop Configuration and Tuning:
- Periodically configure and tune Hadoop components (HDFS, YARN, Hive, HBase, Spark, HPOS).
- Schedule and track change requests for implementation.
- Collaborate with tenants and operating system administrators to manage patches and upgrades.
- Backup, Recovery, and Patching Management:
- Ensure platform resilience through robust data backup and recovery strategies.
- Execute failover to disaster recovery sites and manage fallback processes.
- Plan and perform upgrades and patch management of Hadoop components.
- Validate cluster health post-patching and communicate with stakeholders.
- Identify automation opportunities to enhance patching processes.
- Documentation and Reporting:
- Maintain detailed documentation of cluster configurations, troubleshooting processes, and procedures.
- Generate reports on cluster usage, performance metrics, and capacity utilization.
- Collaboration and Support:
- Collaborate with platform tenants, development teams, and Hadoop vendors to troubleshoot complex issues.
- Work independently and in coordination with key technical experts to ensure production stability.
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