Senior Site Reliability Engineer deploying Kubernetes - based AI infrastructure on NVIDIA - certified hardware for Mirantis. Ensuring reliable, secure, scalable cloud operations and customer delivery.
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Site Reliability Engineer, Data Warehouse Administration
Posted last month
About the role
- Data Warehouse Administrator managing operations of data warehouse platforms at Hyve Solutions. Ensuring high availability and performance for business-critical analytics and reporting workloads.
Responsibilities
- 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
Requirements
- Bachelor’s degree in Computer Science, Information Systems, or equivalent practical experience
- 3+ years of experience in data warehouse administration, data platform SRE, or production support roles
- Proven experience supporting large-scale data platforms in production environments
- Experience managing incidents, troubleshooting system failures, and driving resolution
- Familiarity with data warehouse architecture and large-scale data processing concepts
- Experience working with cross-functional teams including data engineering, platform, analytics teams, and external vendors
- Experience supporting business-critical systems with high availability and performance requirements.
Benefits
- Diversity and inclusion make us all better.
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