Trino Power User / Analyst 100%

Job Title: Trino Power User / Analyst

1. Role Description

· Design, deploy, and operate Trino clusters on-prem Kubernetes

· Configure and maintain Trino catalogs and connectors for heterogeneous data sources (Hive, Iceberg, Kafka, object storage)

· Optimize query execution performance through tuning of memory, CPU, spill and partitioning

· Implement workload management using resource groups, query prioritization, and concurrency limits

· Ensure high availability, scalability, and fault tolerance of the Trino clusters

· Monitor cluster performance, query latency, and system health using observability tools

· Troubleshoot system-level issues, query failures, and resource contention

· Collaborate with Data Engineers and Analysts to define best practices for efficient data access

· Contribute to architecture decisions around data lakehouses, federated query, and distributed analytics

2. Experience

· 5+ years of experience in distributed data systems, data platforms, or big data infrastructure

· Hands-on experience with Trino (or Presto) cluster deployment and operations

· Experience with Kubernetes, containerization, or VM-based distributed systems

· Experience integrating data sources such as Hive Metastore, Iceberg and Kafka

· Proven experience in performance tuning and distributed query optimization

· Experience with monitoring and observability tools (Prometheus, Grafana, Dynatrace)

· Familiarity with security standards and access control mechanisms (LDAP, Kerberos, RBAC)

· Experience working in Agile environments with cross-functional teams

· Experience in financial services or regulated environments is a plus

3. Skills

· Strong understanding of Trino architecture (coordinator/worker, execution model, query planning, resource groups)

· Expertise in performance tuning (joins, partition pruning, predicate pushdown, resource usage)

· Knowledge of modern data architectures (data lakes, lakehouses, data mesh)

· Hands-on experience with open table formats Iceberg

· Experience in infrastructure and platform engineering (Kubernetes, Linux, networking)

· Familiarity with Java/JVM-based systems

· Experience with monitoring, alerting, and troubleshooting distributed systems

· Basic scripting/programming skills (Python, Bash) for automation

· Strong problem-solving and system-level debugging skills

Location: Zurich, minimum 3-4 days to work from office

Start Date: Immediate

Travel Required: Mostly No. On Exceptional basis- if client demands

AARK Tech Solutions GmbH

Seestrasse 11

8805 Richterswil