Data Engineer

You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self.

You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. At Sun Life, we're driven by our

Purpose:

helping our Clients achieve lifetime financial security and live healthier lives. Our values shape how we work: caring, authentic, bold, inspiring, and impactful. When you join Sun Life, you'll work with passionate colleagues and empowering leaders who support your growth and celebrate your contributions, so you can make a meaningful difference in our Clients' lives. Discover how you can make a difference in the lives of individuals, families and communities around the world.

We are currently looking for a Senior Data Engineer - with a passion for turning disparate streams of data into organized and actionable analytics services and insights.

As a Data Engineer on the Data Engineering and Operations team, you will be joining a group of hardworking and savvy innovators who has made it their mission to find new ways to glean value out of rapidly increasing volumes of operational data in Canadian Operations.

Role

Summary:

Working within a diverse and motivated team of analytics professionals, the Senior Data Engineer will be instrumental in designing, implementing, and maintaining data pipelines and infrastructure to support our organization's data-driven decision-making processes, while also guiding and mentoring other Data Engineers.

• 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.

• 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 (e.g., 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.

• Experience with big data technologies such as Hadoop, Spark, or Hive.
• Knowledge of data visualization tools (e.g., Tableau, Power BI).
• Familiarity with agile development methodologies.
• AWS certifications (e.g., AWS Certified Data Analytics - Specialty).

• Comprehensive benefits package and participation in various incentive plans.
• Opportunities for professional growth and development.
• Flexible work arrangements and work-life balance Chance to work on impactful projects that drive business success.

We are proud to be recognized as:

- 2022, 2023, and 2024 Best Workplaces in Canada by Great Place to Work®…