Site Reliability Engineer, Data Warehouse Administration

Posted 3 hours ago

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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.

Job type

Full Time

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

AzureETLHadoopPySparkSpark

Location requirements

HybridOntarioCanada

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