Lead Data Engineer for IFRS17 in Toronto
Posted Updated
Summary
A senior/lead data engineer role in Toronto focused on IFRS 17 insurance reporting: designing scalable backend systems and ETL pipelines with Python, PySpark, and SQL, analyzing datasets for reporting, and mentoring engineering teams.
Elevate your career as a Senior IFRS17 Data Engineer in Toronto, ON. Join a compelling role focused on data engineering, utilizing Python, PySpark, and SQL in a collaborative environment.
We are looking for a Senior IFRS17 Data Engineer who excels in the insurance sector and data analysis. Your proficiency in designing scalable backend systems and ETL pipelines will be crucial in providing technical leadership. You will work closely with cross-functional teams, enhancing the reliability and performance of our data solutions.
Key Responsibilities: • Develop backend systems using Python and PySpark • Implement and optimize ETL pipelines for data engineering • Analyze datasets for IFRS 17 reporting and insurance needs • Lead design and architecture of software systems • Mentor and guide engineering teams across projects
Requirements: • Strong knowledge of IFRS 17 and insurance domain • Expertise in Python, PySpark, and SQL • Experience in scalable data engineering solutions • Familiar with DevOps practices and CI/CD pipelines • Excellent problem-solving and communication skills
Bring your technical expertise in data engineering and collaborative mindset to this key role in the insurance industry.
We are looking for a Senior IFRS17 Data Engineer who excels in the insurance sector and data analysis. Your proficiency in designing scalable backend systems and ETL pipelines will be crucial in providing technical leadership. You will work closely with cross-functional teams, enhancing the reliability and performance of our data solutions.
Key Responsibilities: • Develop backend systems using Python and PySpark • Implement and optimize ETL pipelines for data engineering • Analyze datasets for IFRS 17 reporting and insurance needs • Lead design and architecture of software systems • Mentor and guide engineering teams across projects
Requirements: • Strong knowledge of IFRS 17 and insurance domain • Expertise in Python, PySpark, and SQL • Experience in scalable data engineering solutions • Familiar with DevOps practices and CI/CD pipelines • Excellent problem-solving and communication skills
Bring your technical expertise in data engineering and collaborative mindset to this key role in the insurance industry.