Data Engineer Hybrid Role - IFRS17 Focus
Summary
Senior Data Engineer builds and optimizes ETL pipelines with PySpark and Python to support IFRS17 reporting and insurance data workflows in a hybrid Toronto role.
Step into a Senior Data Engineer position with a focus on IFRS17 and data analysis at our Toronto location, operating in a hybrid capacity. Harness your skills in SQL, Python, and PySpark to enhance data workflows.
In this role, you will leverage extensive IFRS17 experience to mentor teams and lead the creation of effective data engineering systems. Collaborating with various stakeholders, you’ll ensure the successful implementation of ETL pipelines and the maintenance of reliable backend solutions tailored to insurance needs.
Key Responsibilities:
• Maintain and optimize ETL pipelines using PySpark
• Mentor team members through technical guidance
• Collaborate with cross-functional teams for project clarity
• Develop technical documentation and architectural diagrams
• Support smooth deployments collaborating with DevOps
Requirements:
• Requires senior-level experience in data engineering
• Expert knowledge in IFRS17 and SQL
• Skilled in Python, PySpark, and DevOps CI/CD
• Solid foundation in the insurance industry
• Experience in Agile methodologies like Scrum or Kanban
Bring your data engineering expertise and insurance domain experience to lead the way in innovative data solutions.