Senior Data Engineer

Sun Life

Sun Life is advancing their Security Analytics to safeguard client data as part of a global initiative. The company is expanding its data engineering and analytics capabilities, welcoming new talent to fulfill this mission. Members of this team collaborate to implement threat intelligence, internal threat analysis, and predictive modeling, striving to secure data effectively.

In this role you can expect to have the responsibilities:

• Develop data pipelines using AWS to organize and prepare data for reporting and analytics.
• Maintain a complex data repository for reliable reporting on user behavior.
• Support real-time analytics by improving the data engineering platform.
• Build user data models for better access and insights.
• Fulfill business data requests in line with Information Security priorities.
• Promote Proof of Concept projects to full-scale production.
• Work in an agile setting to create engaging, relevant data solutions.

This role comes with the following benefits:

• Recognition as a Best Workplace for Hybrid Work by Great Place to Work® Canada.
• Flexible benefits package from the first day.
• Pension, stock, and savings programs for future financial security.

This role requires you to have:

• Proficiency in SQL and Python with 5+ years of experience.
• Expertise in data analytics technology and data modeling.
• Bachelor’s Degree in Computer Science is preferred.
• Ability to lead and innovate in data processes.
• Experience in Agile methodologies.

You would benefit from having:

• Knowledge of Spark, Scala, Glue, Lambda, RedShift or Java.
• Background in Information Security.
• Strong communication skills for various audiences.

The selected candidate must attain Canadian Reliability Security Clearance. Sun Life values diversity and inclusion, offering accommodations for persons with disabilities during the application process.