Databricks DataOps / SRE Engineer
- Toronto, ON, Canada
$50 to $55 CAD / hour · Contract
Applications open in a new tab.
Job details
- Pay
- $50 to $55 CAD / hour
- Job type
- Contract
- Apply by
- Posting language
- English
- Posted
Original job description
Role: Databricks DataOps / SRE Engineer
Location: Toronto, Hybrid.
Employment Type: Contract OR Fulltime
Compensation Range: CAD 50.00 60.00/Hr. + HST or 120K-130K/annum Fulltime
Required
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.
Artificial Intelligence (AI) Disclosure
We use AI-enabled tools to assist in screening applications based on job-related criteria.
Our Commitment to Diversity and Inclusion
Avanciers Incorporated is an equal opportunity employer committed to creating an inclusive and accessible workplace. We welcome applications from all qualified individuals regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or any other protected characteristic. We are committed to providing accessible employment practices that comply with the Accessibility for Ontarians with Disabilities Act (AODA).
Important Information for Applicants
- Only candidates selected for an interview will be contacted
- Proof of qualifications may be requested
- Background checks may be conducted as part of the hiring process
- Avanciers Incorporated does not use Canadian Social Insurance Numbers (SIN) during the application process
Avanciers Incorporated
www.avanciers.com
More about this job
Responsibilities
Support Azure Databricks production workloads by monitoring and troubleshooting pipelines, jobs, workflows, clusters, performance bottlenecks, and data processing errors. Automate operational tasks and pipeline recovery, manage incidents and root-cause analysis, and prepare runbooks and troubleshooting documentation.
Requirements
Requires strong hands-on experience supporting Azure Databricks in production, including Databricks Jobs and Workflows, Spark execution, Azure Data Factory, and SQL. Candidates should be able to investigate pipeline and cluster issues, develop Python and shell scripts, and work with monitoring and incident-management tools; ServiceNow, SRE practices, SLI/SLO concepts, and Azure DevOps are desirable.
Skills
- Azure Databricks
- DataOps
- Site Reliability Engineering
- Production Support
- Pipeline Troubleshooting
- Monitoring
- Databricks Jobs
- Databricks Workflows
- Apache Spark
- Azure Data Factory
- SQL
- Python
- Shell Scripting
- Azure Monitor
- Log Analytics
- Incident Management
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Data & Analytics
- Software
- Engineering
Keywords
- Azure Databricks
- DataOps
- Site Reliability Engineering
- 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
- Runbooks
- ServiceNow
- SRE Practices
- SLI/SLO Concepts
- Azure DevOps
- Performance Monitoring
- Cluster Troubleshooting