Senior Data Engineer - Hybrid: Build Scalable Pipelines & Insights

Sun Life; Toronto; Hybrid; CAD 85,000 - 128,000; Full time

Benefits offered by this job

Flexible work arrangements

Hybrid work model

Professional growth opportunities

Job summary

Sun Life is seeking a Senior Data Engineer to design, implement, and maintain scalable data pipelines and infrastructure to support data-driven decision making. You will mentor other Data Engineers and contribute to BI and analytics initiatives across Canada.

In this role, you will work within a diverse analytics team, collaborating with cross-functional partners, and ensuring data quality, security, and regulatory compliance while staying current with new technologies.

Qualifications

• Bachelor’s degree in computer science, information technology, or related field.
• 5–10 years of experience in ETL design, modeling, and development.
• Strong proficiency in SQL and Python programming.
• Experience with AWS services, particularly Glue, Step Functions, and other data-related services.
• Expertise in data warehousing concepts and methodologies.
• Proficiency in ETL tools (Informatica, Talend, SSIS).
• Experience with various database systems and data formats.
• Familiarity with Kafka and stream processing concepts.
• Excellent problem-solving and analytical skills.
• Strong communication and leadership abilities.

Responsibilities

• Design, develop, and maintain scalable data pipelines using AWS Glue, Kafka, and Step Functions.
• Implement and optimize ETL processes using tools like SSIS, Informatica, or Talend.
• Guide and mentor Data Engineers on best practices for ETL development and data sourcing.
• Create and maintain data models to support business intelligence and analytics initiatives.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Ensure data quality, security, and compliance with industry standards and regulations.
• Troubleshoot data-related issues and implement solutions.
• Stay current with emerging technologies and best practices in data engineering.

Skills

SQL

Python

ETL design

Data warehousing

Data modeling

Analytics leadership

Problem solving

Communication

Education

Bachelor’s degree in computer science or related field

Tools

AWS Glue

Kafka

Step Functions

SSIS

Informatica

Talend

Job description

Sun Life is seeking a Senior Data Engineer to design, implement, and maintain scalable data pipelines and infrastructure to support data-driven decision making. You will mentor other Data Engineers and contribute to BI and analytics initiatives across Canada.

In this role, you will work within a diverse analytics team, collaborating with cross-functional partners, and ensuring data quality, security, and regulatory compliance while staying current with new technologies.