Elevate your career as a Senior IFRS17 Data Engineer in Toronto, ON. Join a compelling role focused on data engineering, utilizing Python, Py Spark, and SQL in a collaborative setting.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 Py Spark
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 projectsRequirements:
Robust knowledge of IFRS 17 and insurance domain
Expertise in Python, Py Spark, and SQL
Experience in scalable data engineering solutions
Familiar with Dev Ops practices and CI/CD pipelines
Excellent problem-solving and communication skillsBring your technical expertise in data engineering and team-oriented mindset to this key role in the insurance industry.#J-18808-Ljbffr

📌 Lead Data Engineer For I In Toronto
🏢 Realign
📍 Toronto