Big Data Platform Engineer

We are seeking an experienced Dremio Engineer to support the build, operation, and evolution of the client s Dremio platform. The engineer will be responsible for deploying and supporting Dremio environments, troubleshooting platform and user issues, conducting proofofconcepts (POCs) for new features and product capabilities, and supporting both modern and legacy data platforms.

Key Responsibilities

• Dremio Platform Engineering
• Build, configure, and manage Dremio instances in OpenShift (current version 26.x).
• Support platform upgrades, patching, configuration tuning, and capacity planning.
• Ensure high availability, performance, and stability of Dremio environments.
• Operations & Support
• Troubleshoot Dremio-related issues across infrastructure, connectivity, performance, and security layers.
• Provide L2/L3 support for user queries, failures, and data access issues.
• Analyze logs, query plans, and system metrics to identify and resolve root causes.
• POCs & Innovation
• Execute proofofconcepts (POCs) for new Dremio features and product capabilities.

Required Skills & Experience

• Strong hands-on experience with Dremio administration and troubleshooting
• Experience deploying and supporting Dremio on Kubernetes / OpenShift
• Solid understanding of distributed systems, query engines, and data virtualization
• Experience with Hadoop ecosystem tools (HDFS, Hive, Impala, Spark)
• Hands-on exposure to MapR, Cloudera, and Hortonworks platforms
• Proficiency in Linux, shell scripting, and log analysis
• Strong understanding of data access, security, and governance concepts