This is an chance 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 workplace, 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
Robust 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!
📌 Site Reliability Engineer Toronto (Canada)
🏢 Alquemy
📍 Canada
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