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
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
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 systemsBasic 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
#J-18808-Ljbffr
Trino Power User / Analyst 100% in Zürich Arbeitgeber: AARK Tech Solutions GmbH
pAARK Tech Solutions GmbH bietet eine dynamische und unterstützende Arbeitsumgebung in Genf, wo Teamarbeit und Innovation gefördert werden. Unsere Mitarbeiter profitieren von flexiblen Arbeitszeiten, kontinuierlichen Weiterbildungsmöglichkeiten und einem multikulturellen Umfeld, das die Zusammenarbeit in Englisch und Französisch ermöglicht. Durch die Mitarbeit an einem bedeutenden AWS Data Platform-Projekt haben Sie die Chance, Ihre Fähigkeiten weiterzuentwickeln und einen wertvollen Beitrag zu leisten.
