Site Reliability Engineer
Hybrid
GTA
12+ months
This is an opportunity for someone early in their career who has hands-on experience with Azure data technologies and wants to build deeper experience across data platforms, production support, monitoring and Microsoft Fabric.
What you will do:
•Monitor and support live data pipelines and data platform components
•Troubleshoot failed jobs, incidents and data-related issues
•Support ETL/ELT processes using Azure Data Factory, Synapse Analytics, Databricks and Microsoft Fabric
•Use SQL and Python or PySpark for data investigation, transformation and pipeline support
•Improve monitoring, alerting, logging and operational reliability
•Automate recurring support tasks and manual processes
•Work with data engineers, analysts, data scientists and business stakeholders
•Complete root cause analysis and help prevent recurring incidents
What we are looking for:
•Approximately one to two years of relevant experience in data engineering, data platform support, cloud operations or a related area
•Hands-on exposure to the Microsoft Azure data environment, particularly Azure Synapse, Azure Data Lake and data pipelines
•Solid SQL and Python fundamentals
•Understanding of databases, data lakes, ETL/ELT and pipeline monitoring
•Experience supporting or troubleshooting data solutions in a production, co-op, internship or project environment
•Familiarity with Git, CI/CD, monitoring or incident-management practices
•Strong communication, problem-solving skills and willingness to learn
This role is best suited to someone who is technically curious, comfortable investigating issues and interested in growing toward data engineering, cloud operations or site reliability engineering.
Apply today!
