Senior Trino Power User Analyst

Responsibilities

• Design, deploy and operate Trino clusters in on-premise Kubernetes environments
• Configure Trino catalogs and connectors for heterogeneous data sources such as Hive, Iceberg, Kafka and object storage
• Optimize query performance through tuning of memory, CPU allocation, spill strategy and partitioning
• Implement workload management strategies using resource groups and concurrency controls
• Ensure scalability and fault tolerance of Trino clusters for critical analytics workloads
• Monitor query latency, cluster performance and system health using observability tools
• Troubleshoot query failures, resource contention, and system-level issues
• Collaborate with analytics teams to promote best practices for efficient data access
• Contribute to decision-making for architecture related to data lakehouses and distributed analytics

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