Join Scotiabank's Enterprise Data & AI Technology team as a Data Engineer. Focus on building scalable data pipelines and optimizing data workflows leveraging Azure and Lakehouse tools. In this role, you will play a crucial part in supporting data-enabled decision-making and AI innovation at Scotiabank.

You will design, build, and maintain resilient data pipelines while collaborating with stakeholders to onboard current data sources into the cloud data platform. Your expertise in data engineering and programming will ensure the integrity and performance of application services. Key Responsibilities:
Design and maintain data pipelines for large datasets
Automate data workflows using cloud SaaS platforms




Optimize application performance and implement observability
Validate data integrity for accuracy and consistency
Collaborate with stakeholders and product managers for requirements Requirements:
4+ years of Azure Data Factory and ADLS experience
Proficient in data engineering and ELT processes
Solid knowledge of SQL, Python, Java, and Scala
Experience with Databricks and Lakehouse platforms
Ability to create technical design documents Bring your data engineering skills to Scotiabank's team and drive creative data solutions.

📌 Data Engineer For Scotiabank's Cloud Team Toronto
🏢 Scotiabank
📍 Toronto