Site Reliability Engineer
- Toronto, ON, Canada
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Job details
- Job type
- Contract
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- 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 pipelines, jobs, workflows, Spark execution, clusters, performance bottlenecks, and data processing errors. Automate operational tasks and pipeline recovery, monitor systems, manage incidents, investigate root causes, and prepare runbooks and troubleshooting documentation.
Requirements
Requires strong hands-on experience supporting Azure Databricks in production, including pipeline troubleshooting and monitoring, along with expertise in Databricks Jobs and Workflows, Spark, Azure Data Factory, and SQL. Requires experience with Python and shell scripting, Azure Monitor, Log Analytics, 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
- Azure DevOps
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Data & Analytics
- Engineering
- Consulting
Keywords
- Azure Databricks
- Production Support
- Pipeline Troubleshooting
- Monitoring
- 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
- Site Reliability Engineering
- SLI/SLO
- Azure DevOps
- Cluster Issues
- Performance Bottlenecks
- Data Processing Errors