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 environment.

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 • Solid 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. #J-18808-Ljbffr

📌 Data Solutions Engineer at Scotiabank (Winnipeg)
🏢 Scotiabank
📍 Winnipeg