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 recent 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
• Robust 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 cutting-edge data solutions.
J-18808-Ljbffr

📌 Data Engineer For Scotiabank's Cloud Team Ontario (Canada)
🏢 Scotiabank
📍 Canada