Senior Trino Power User Analyst

Wer wir sind

EPAM Systems ist ein führender Anbieter von digitaler Ingenieurskunst, Cloud- und KI-gestützten Transformationsdiensten sowie ein wichtiger Partner für Unternehmens- und Erfahrungskonsultationen für globale Unternehmen und Startups.

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

Requirements

• 5+ years of experience in distributed data platforms or big data infrastructure
• Hands-on experience with deploying and operating Trino or Presto clusters
• Proficiency with Kubernetes and containerized workloads
• Experience integrating data sources such as Hive Metastore, Iceberg tables and Kafka
• Strong background in distributed query optimization and performance tuning
• Knowledge of monitoring tools such as Prometheus, Grafana or Dynatrace
• Familiarity with security and access control mechanisms (LDAP, Kerberos, RBAC)
• Strong understanding of Trino architecture including coordinator/worker roles, query planning and resource groups
• Scripting skills in Python or Bash for automation tasks
• Excellent communication skills, with fluency in English, knowledge of German is a plus

Fähigkeiten

PythonSecurityICTKubernetesKafkaPrometheusGrafanaBash

Gehaltsspanne

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