Trino Power User / Analyst 100%

h3Role Description /h3 ul liDesign, deploy, and operate Trino clusters on-prem Kubernetes /li liConfigure and maintain Trino catalogs and connectors for heterogeneous data sources (Hive, Iceberg, Kafka, object storage) /li liOptimize query execution performance through tuning of memory, CPU, spill and partitioning /li liImplement workload management using resource groups, query prioritization, and concurrency limits /li liEnsure high availability, scalability, and fault tolerance of the Trino clusters /li liMonitor cluster performance, query latency, and system health using observability tools /li liTroubleshoot system-level issues, query failures, and resource contention /li liCollaborate with Data Engineers and Analysts to define best practices for efficient data access /li liContribute to architecture decisions around data lakehouses, federated query, and distributed analytics /li /ul h3Experience /h3 ul li5+ years of experience in distributed data systems, data platforms, or big data infrastructure /li liHands-on experience with Trino (or Presto) cluster deployment and operations /li liExperience with Kubernetes, containerization, or VM-based distributed systems /li liExperience integrating data sources such as Hive Metastore, Iceberg and Kafka /li liProven experience in performance tuning and distributed query optimization /li liExperience with monitoring and observability tools (Prometheus, Grafana, Dynatrace) /li liFamiliarity with security standards and access control mechanisms (LDAP, Kerberos, RBAC) /li liExperience working in Agile environments with cross-functional teams /li liExperience in financial services or regulated environments is a plus /li /ul h3Skills /h3 ul liStrong understanding of Trino architecture (coordinator/worker, execution model, query planning, resource groups) /li liExpertise in performance tuning (joins, partition pruning, predicate pushdown, resource usage) /li liKnowledge of modern data architectures (data lakes, lakehouses, data mesh) /li liHands-on experience with open table formats Iceberg /li liExperience in infrastructure and platform engineering (Kubernetes, Linux, networking) /li liFamiliarity with Java/JVM-based systems /li liExperience with monitoring, alerting, and troubleshooting distributed systemsBasic scripting/programming skills (Python, Bash) for automation /li liStrong problem-solving and system-level debugging skills /li /ul pLocation: Zurich, minimum 3-4 days to work from office /p pStart Date: Immediate /p pTravel Required: Mostly No. On Exceptional basis- if client demands /p pAARK Tech Solutions GmbH /p pSeestrasse 11 /p p8805 Richterswil /p #J-18808-Ljbffr