Sr. IFRS17 Data Engineer

About

Responsibilities

• Develop and maintain backend systems using Python| PySpark ensuring high performance| scalability| and reliability
• Participate in the design and implementation of data engineering and ETL pipelines using PySpark
• Collaborate with cross-functional teams to identify and prioritize project requirements
• Mentor and guide engineers| providing technical guidance and code reviews
• Stay up-to-date with the latest technologies and frameworks| and apply this knowledge to improve existing systems and processes
• Lead the technical direction of the team| including architecture| design| and implementation of software systems
• Collaborate with product owners to define and prioritize requirements
• Develop and maintain technical documentation| including architecture diagrams| and technical specifications
• Participate in code reviews| ensuring high-quality code and adherence to coding standards
• Collaborate with DevOps and Operations teams to ensure smooth deployment and operation of applications

Qualifications

• Must have IFRS17 working experience with Data Analysis
• Insurance domain knowledge
• Good to have DATAIKU exposure
• Expert in Data Analysis| SQL| Python| PySpark
• Expert in DevOps practices and tools for CICD pipelines
• Willingness to learn new technologies and adapt to new challenges
• Proven experience in leading technical teams| including technical guidance| mentoring| and coaching
• Strong technical leadership skills| including the ability to make technical decisions| prioritize tasks| and manage technical resources
• Excellent communication and collaboration skills| with the ability to work effectively with cross-functional teams
• Ability to drive technical innovation| including researching new technologies| evaluating technical options| and recommending technical solutions
• Strong problem-solving skills| with the ability to debug complex issues| optimize system performance| and ensure high-quality software delivery
• Experience with Agile development methodologies| including Scrum or Kanban| and the ability to apply these principles to lead the team
• Experience with cloud platforms| including Amazon Web Services (AWS)| Microsoft Azure| or Google Cloud Platform (GCP)
• Experience with PySpark for Data Engineering
• ETL pipelines