Elevate your career as a Data Engineer at Scotiabank in Toronto, Canada. Specialize in building secure data solutions across Azure and Databricks platforms while ensuring data integrity.
As a Data Engineer, you'll focus on designing and supporting scalable data pipelines using up-to-date data engineering practices. This role emphasizes collaboration with various stakeholders to develop reliable data solutions that enhance reporting and analytics. Your responsibilities will include optimizing data ingestion processes and implementing CI/CD practices for efficient delivery.
Key Responsibilities:
• Design and build scalable data pipelines on Azure and Databricks
• Develop ETL/ELT processes for varied data formats




• Collaborate with business teams to align data solutions with objectives
• Create data quality and observability frameworks
• Document technical designs and operational procedures
Requirements:
• 4+ years in data engineering with strong SQL skills
• Experience with Azure Data Lake and Databricks
• Knowledge of ETL/ELT processes and data quality frameworks
• Familiarity with CI/CD practices and GitHub
• Strong problem-solving capabilities in a collaborative setting
Harness your data engineering expertise to drive innovative solutions at Scotiabank.
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📌 Data Engineer with Azure Experience (Toronto)
🏢 Scotiabank
📍 Toronto