Senior Data Engineer building AWS, Snowflake, Python, PySpark, and SQL data products for Sun Life’s Canadian financial - services business. Enabling analytics, data science, governance, and client insights.
About the role
- Senior Data Engineer at Confluence responsible for designing and delivering scalable data solutions. Collaborating with teams and mentoring engineers in modern data engineering practices.
Responsibilities
- Help design and deliver scalable data solutions that power decision-making across the organization.
- Take ownership of key components of the data platform, working hands-on with modern tools and technologies to build reliable, high-quality data pipelines.
- Collaborate with teams across the business, contribute to architectural decisions, and support the growth of other engineers through mentorship and knowledge sharing.
- Solve complex data challenges through clean, maintainable code.
Requirements
- Solid Python experience in a data engineering environment
- Advanced SQL skills and hands-on experience with Snowflake
- Experience designing and running production-grade ETL pipelines at scale
- Exposure to cloud platforms such as AWS, Azure, or GCP
- Ability to take ownership of work end-to-end, from design through to deployment and monitoring
- Experience working with financial or regulated data environments (Nice to Have)
- Familiarity with orchestration tools such as Airflow or AWS Step Functions (Nice to Have)
- Exposure to streaming or near real-time data pipelines (Nice to Have)
Benefits
- Generous Time Off packages including additional half days with each public holiday in your location.
- Global Career Development opportunities
- Social Events
- Referral Bonus scheme - Upto $3,000 per successful referral
- Plus many more!
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