Senior Trino Power User Analyst

EPAM Systems; Zürich; Hybrid; CHF 150.000 - 190.000; Vollzeit

Benefits dieser Stelle

5 weeks of vacation

EPAM Employee Stock Purchase Plan (ESn

Enhanced parental leave

Extended pension plan

Daily sickness allowance insurance

Employee assistance program

Global business travel medical and 事故

Learning and development opportunities

Zusammenfassung

EPAM Systems in Zurich, Switzerland invites a Senior Trino Power User Analyst to join our hybrid team. You will design, deploy and optimize Trino clusters for large-scale data environments, ensuring high availability and performance across diverse sources.

You will work with data engineers and architects on lakehouses, federated queries and distributed analytics, tuning memory and CPU, and shaping modern data architectures. Fluency in English is required; knowledge of German is a plus.

Qualifikationen

• 5+ years in distributed data platforms or big data infrastructure.
• Hands-on deploying and operating Trino or Presto clusters.
• Proficiency with Kubernetes and containerized workloads.
• Experience with Hive Metastore, Iceberg, Kafka and object storage.
• Strong background in distributed query optimization and performance tuning.
• Knowledge of monitoring tools (Prometheus, Grafana, Dynatrace).
• Security and access control (LDAP, Kerberos, RBAC).
• Trino architecture knowledge: coordinator/worker roles and resource groups.
• Scripting in Python or Bash for automation.
• Excellent English; German a plus.

Aufgaben

• Design, deploy and operate Trino clusters in on-premise Kubernetes environments.
• Configure Trino catalogs and connectors for heterogeneous data sources.
• Optimize query performance through memory/CPU tuning and partitioning.
• Implement workload management with resource groups and concurrency controls.
• Ensure scalability and fault tolerance for analytics workloads.
• Monitor latency, performance and health using observability tools.
• Troubleshoot query failures and system issues.
• Collaborate with analytics teams on best practices for data access.
• Contribute to architecture decisions for lakehouses and federated analytics.

Kenntnisse

Distributed data platforms

Trino/Presto experience

Kubernetes

Query optimization

Monitoring with Prometheus/Grafana

Security and access control (LDAP/Kerb

Python or Bash scripting

English fluency

Tools

Trino

Kubernetes

Prometheus

Grafana

Dynatrace

Jobbeschreibung

We're looking for a Senior Trino Power User Analyst to join our team in Zurich, Switzerland in a hybrid working mode. In this role, you will design, deploy and optimize Trino clusters for large-scale data environments. You will ensure high availability, performance and fault tolerance of distributed systems while enabling efficient query execution across diverse data sources. 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.

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

We offer

• 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
• 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