Join CIBC as a Data Lakehouse Engineer and lead backend database innovations in a hybrid work setup. Your expertise in Azure SQL, ETL, and large data processing will shine here.

As part of your role, you will design and optimize database solutions, managing vast datasets exceeding 5TB while implementing data models that meet evolving business needs. Your skill set in SQL query writing and performance tuning will be vital as you build effective ETL pipelines and work closely with cross-functional teams for data flow improvements. Your input will guide the enhancement of our cloud infrastructure.

Key Responsibilities:
• Implement robust ETL pipelines tailored to business needs
• Design and optimize data models in Azure environments




• Collaborate with teams to improve data access and usability
• Write complex SQL queries and stored procedures
• Conduct performance tuning of database objects and systems

Requirements:
• Expertise in Azure SQL and Data Lakehouse architecture
• Solid knowledge of ETL processes and large datasets
• Background in Azure Data Factory and Databricks
• Experience in performance tuning and troubleshooting
• Leadership abilities to mentor fellow developers

Leverage your capabilities in a fulfilling role that drives innovation at CIBC.
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📌 CIBC Data Lakehouse Engineer Role (Ontario)
🏢 Socket.dev
📍 Ontario