Site Reliability Engineer
- Toronto, ON, Canada
Contract
Applications open in a new tab.
Job details
- Job type
- Contract
- Apply by
- Posting language
- English
- Posted
Original job description
- Strong hands-on experience in Azure Databricks production support, pipeline troubleshooting, and monitoring.
- Expertise in Databricks Jobs, Workflows, Spark execution, Azure Data Factory, and SQL.
- Experience investigating pipeline failures, cluster issues, performance bottlenecks, and data processing errors.
- Develop Python and shell scripts for operational automation, pipeline recovery, and monitoring.
- Experience with Azure Monitor, Log Analytics, incident management, and root-cause analysis.
- Prepare technical runbooks, troubleshooting guides, and incident resolution documentation.
- Good to have: ServiceNow, SRE practices, SLI/SLO concepts, and Azure DevOps
More about this job
Responsibilities
Support Azure Databricks production workloads by troubleshooting pipeline failures, cluster issues, performance bottlenecks, and data processing errors. Automate operational tasks and pipeline recovery, monitor systems, manage incidents, investigate root causes, and maintain runbooks and troubleshooting documentation.
Requirements
Requires hands-on experience supporting Azure Databricks in production, including Databricks Jobs and Workflows, Spark execution, Azure Data Factory, and SQL. Requires experience with Python and shell scripting, monitoring, incident management, and root-cause analysis; ServiceNow, SRE practices, SLI/SLO concepts, and Azure DevOps are desirable.
Skills
- Azure Databricks
- Production Support
- Pipeline Troubleshooting
- Monitoring
- Databricks Jobs
- Databricks Workflows
- Apache Spark
- Azure Data Factory
- SQL
- Python
- Shell Scripting
- Azure Monitor
- Log Analytics
- Incident Management
- Root-Cause Analysis
- SRE Practices
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Data & Analytics
Keywords
- Azure Databricks
- Production Support
- Pipeline Troubleshooting
- Databricks Jobs
- Databricks Workflows
- Apache Spark
- Azure Data Factory
- SQL
- Python
- Shell Scripting
- Operational Automation
- Pipeline Recovery
- Azure Monitor
- Log Analytics
- Incident Management
- Root-Cause Analysis
- Technical Runbooks
- Troubleshooting Guides
- ServiceNow
- SRE Practices
- SLI/SLO Concepts
- Azure DevOps
- Performance Bottlenecks
- Cluster Issues
- Data Processing Errors