AI/ML Engineer designing and refining prompts and workflows using large language models. Responsible for developing data pipelines and delivering scalable AI solutions in a hybrid work environment.
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.
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