Hybrid Senior Data Engineer

at Sun Life

• Job title: Senior Data Engineer
• Job type: Full Time
• Experience level: Senior
• Salary: CA$80,000 - CA$128,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, ETL, Jenkins, PySpark, Python, SQL, Terraform
• Location requirements: Hybrid, Toronto, Canada

About the role

• Senior Data Engineer utilizing AWS technologies for data processing and analytics. Designing and improving data repositories for digital campaigns and reporting at Sun Life.

Responsibilities

• Design, develop, maintain and continuously improve a large and complex data repository that provides accurate and reliable data to support campaigns and reporting in support of digital channels.
• Deepen the organizations understanding of client and member level data and provide expert guidance on how best to leverage data to provide actionable business insight.
• Build data assets as required for best use of client data for automated digital marketing activity.
• Manage and execute on business data requests ensuring requests are aligned to business priorities and the request fulfillment meets the business needs.
• Collaborates in an agile team to understand business objectives and develop campaign solutions that deliver best in class, engaging and highly relevant experiences.
• Provide expert guidance on developing the structure and processes to build a Big Data repository (includes basic ETL type processes, QA etc.).
• Become one of the organizations top data experts and CXO Analytics data steward ensuring data is appropriately interpreted and applied to business problems.
• Develop a solid understanding the Sun Life Financial Canada’s business.
• Serve as a leading data expert and analytics steward, ensuring accurate data interpretation and application.
• Architect and maintain a sophisticated data ecosystem to support digital campaigns and reporting.

Requirements

• 3-5 years hands-on experience working on AWS technologies for data processing and analytics.
• 3-5 years experience with Git, Bitbucket, Jenkins, Terraform, S3, Lambda, Step Functions.
• 3-5 years experience in Python, PySpark and SQL.
• 5 years hands-on experience with relational database systems, relational models, dimensional models etc.
• Sound understanding of data management principles (data warehousing, data quality, master data management, etc.).
• Excellent communication skills (both written and oral), combined with strong interpersonal skills - have the ability to explain complexity of data to a business audience.
• Demonstrated experience in database querying and reporting and developing campaign lists for direct marketing campaigns.
• Undergraduate degree in Computer Science, Mathematics, Engineering, or equivalent.

Benefits

• Flex hours and work from home options.
• Pension, stock and savings programs to help build and enhance your future financial security.
• Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives.
• A friendly, collaborative and inclusive culture.
• Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.
• Competitive salary and bonus structure influenced by market range data.
• The opportunity to move along a variety of career paths with amazing networking potential.