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 documentationRequirements:- Minimum 4 years in data engineering with Azure expertise- Proven experience with ETL/ELT development- Robust understanding of data modeling and validation techniques- Proficient in using GitHub for source control- Excellent communication for stakeholder engagementContribute to Scotiabank's data initiatives with your engineering skills and teamwork.#J-18808-Ljbffr

📌 Data Solutions Engineer - $85,000 - $105,000 A Year (Winnipeg)
🏢 Altimetrik
📍 Winnipeg