Senior Trino Power User Analyst

We are looking for a Senior Trino Power User Analyst to join our team in Zurich, Switzerland in a hybrid working mode. This position offers the opportunity to work closely with data engineers, architects and analysts in shaping modern data architectures, including lakehouses and federated query solutions.

We offer/Benefits

• 5 weeks of vacation
• EPAM Employee Stock Purchase Plan (ESPP)
• Enhanced parental leave
• Extended pension plan
• Daily sickness allowance insurance
• Employee assistance program
• Global business travel medical and accident insurance
• Learning and development opportunities including in-house training and coaching, professional certifications, and courses

*All benefits and perks are subject to certain eligibility requirements

• Please note that any offers will be subject to appropriate background checks
• We do not accept CVs from recruiting or staffing agencies
• For this position, we are able to consider applications from the following:
• Swiss nationals
• EU/EFTA nationals
• Third-country nationals based in Switzerland with an appropriate work permit
• Displaced people from Ukraine who are currently in Switzerland and hold, or have already applied for, S permits

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