Data Engineer Banking

Role:
Data Engineer with recent Banking experience

Location:

Mississauga, ON, Canada

Duration:
Contract Opportunity

• Design, develop, and optimize data models and schemas to effectively support business requirements.
• Build, implement, and maintain efficient ETL pipelines utilizing Spark, Databricks, and other relevant tools.
• Develop complex SQL queries, stored procedures, and functions to extract, transform, and load data from multiple sources.
• Collaborate with data analytics, data science, and business teams to gather requirements and deliver tailored data solutions.
• Leverage Azure Data Services including Azure Data Lake, Azure Data Factory, and Azure Databricks to create scalable, reliable data architectures.
• Ensure adherence to data quality, governance, security, and compliance standards across all data processes.
• Continuously monitor, troubleshoot, and optimize data pipelines for performance, scalability, and robustness.
• Document data architecture, workflows, and procedures; participate in code reviews and establish best practices.

• 6+ years of experience in data engineering with demonstrated expertise in data modeling and SQL.
• Proven experience in developing ETL solutions and orchestrating data pipelines.
• Hands‑on experience working with Azure cloud platform, specifically Azure Data Factory, Data Lake, and Databricks.
• Strong programming skills in Spark, Python, or Scala for data processing tasks.
• Familiarity with data governance, security protocols, and regulatory compliance requirements.
• Excellent problem‑solving skills, keen attention to detail, and ability to troubleshoot complex data issues.
• Ability to work independently and collaboratively within a team environment.
• Bachelor’s degree in Computer Science, Information Technology, or related field.