Data Engineer IFRS17, C#, SQL, MVC, WPF

Sr. IFRS17 Data Engineer (C# SQL MVC WPF)

Job Description

• Must have hands-on IFRS17 experience with strong Data Analysis and Insurance domain knowledge.
  
• Good to have exposure to Dataiku.
  
• Strong expertise in Data Analysis SQL Python and PySpark.
  
• Develop and maintain backend systems using Python and PySpark ensuring high performance scalability and reliability.
  
• Design and implement Data Engineering and ETL pipelines using PySpark.
  
• Collaborate with cross-functional teams to identify and prioritize project requirements.
  
• Mentor and guide engineers through technical leadership code reviews and best practices.
  
• Stay updated with emerging technologies and frameworks to improve systems and processes.
  
• Lead technical direction including architecture design and implementation of software solutions.
  
• Work closely with Product Owners to define and prioritize business and technical requirements.
  
• Develop and maintain technical documentation including architecture diagrams and technical specifications.
  
• Participate in code reviews to ensure coding standards and high-quality deliverables.
  
• Collaborate with DevOps and Operations teams for smooth deployment and application support.
  
• Strong expertise in DevOps practices and CI/CD pipeline implementation.
  
• Willingness to learn new technologies and adapt to evolving project needs.
  
• Proven experience leading technical teams with mentoring and coaching responsibilities.
  
• Strong technical decision-making task prioritization and resource management skills.
  
• Excellent communication and collaboration skills with cross-functional teams.
  
• Ability to drive technical innovation by researching and recommending new technologies and solutions.
  
• Strong troubleshooting and performance optimization skills to ensure high-quality software delivery.
  
• Experience with Agile methodologies such as Scrum or Kanban.
  
• Experience with cloud platforms including AWS Azure or GCP.
  
• Hands-on experience with PySpark for Data Engineering and ETL pipelines.
  

Required Skills

• IFRS17
  
• Data Engineering
  
• SQL
  
• Python
  
• PySpark
  
• ETL Pipelines
  
• DevOps / CI-CD
  
• Insurance Domain
  

Experience Required

• Senior-Level Experience Required