Hyve Solutions

DevOps Engineer

• Operate and support data warehouse platforms such as Hive, Hadoop, ClickHouse, and Vertica in production environments
• Own the stability, availability, and performance of data warehouse systems and supporting infrastructure
• Monitor system health, query performance, and resource utilization, and proactively identify potential issues
• Troubleshoot production incidents across data pipelines, ETL workflows, Spark jobs, and underlying infrastructure
• Perform root cause analysis for system failures, data issues, and performance bottlenecks
• Design and enhance monitoring, alerting, and observability for data platforms
• Automate repetitive operational tasks to improve efficiency and reduce manual intervention
• Manage deployment activities, configuration changes, patching, and system upgrades
• Support data workflows including ETL pipelines (e.g., Azkaban), PySpark/SparkSQL processing, and ingestion processes
• Support data platform integrations such as Azure Blob storage and Power BI Gateway connectivity
• Collaborate with data engineering, analytics teams, and vendors to improve system robustness and scalability
• Participate in on-call rotation and support incident response to ensure timely resolution
• Develop and maintain operational documentation, SOPs, and runbooks

Site Reliability Engineer, Data Warehouse Administration