Senior Data Engineer: Data Pipelines & AWS Leadership

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

Benefits offered by this job

Comprehensive benefits package

Hybrid work model

Professional growth opportunities

Recognition as Best Workplace

Job summary

Sun Life Financial is seeking a Senior Data Engineer to design, implement, and maintain data pipelines and infrastructure supporting data-driven decision making. You will mentor other Data Engineers while collaborating with cross-functional teams to deliver scalable analytics solutions.

Required are 5-10 years of ETL experience, strong SQL/Python, and AWS Glue/Step Functions expertise. The role emphasizes data quality, security, and compliance, with a hybrid work model and opportunities for

Qualifications

• 5-10 years of experience in ETL design, modeling, and development.
• Strong proficiency in SQL and Python.
• 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 modeling

Leadership

Education

Bachelor’s degree in CS/IT or related field

Tools

AWS Glue

Kafka

Step Functions

SSIS

Informatica

Talend

Job description

Sun Life Financial is seeking a Senior Data Engineer to design, implement, and maintain data pipelines and infrastructure supporting data-driven decision making. You will mentor other Data Engineers while collaborating with cross-functional teams to deliver scalable analytics solutions.

Required are 5-10 years of ETL experience, strong SQL/Python, and AWS Glue/Step Functions expertise. The role emphasizes data quality, security, and compliance, with a hybrid work model and opportunities for