Be part of a dedicated team as a Data Solutions Engineer in Toronto, Canada, with Scotiabank. Focus on building and supporting advanced data architectures in a collaborative setting.

In this role, you'll design and implement high-quality data pipelines that support enterprise decision-making and analytics. Your key focus will involve working with Azure, Databricks, and CI/CD practices, where you will transform business requirements into robust technical solutions. Building and optimizing data pipelines while ensuring quality and governance will be essential to your success.

Key Responsibilities:
• Design and optimize data pipelines in Azure and Databricks
• Implement validation and transformation of diverse data types




• Collaborate closely with stakeholders for technical alignment
• Lead implementation of data governance and quality measures
• Maintain up-to-date technical documentation

Requirements:
• Minimum 4 years in data engineering with Azure expertise
• Proven experience with ETL/ELT development
• Strong understanding of data modeling and validation techniques
• Proficient in using GitHub for source control
• Excellent communication for stakeholder engagement

Contribute to Scotiabank's data initiatives with your engineering skills and teamwork.
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📌 Data Solutions Engineer at Scotiabank (Ontario)
🏢 Scotiabank
📍 Ontario