Lead Data Engineer at Canada Life overseeing a team and developing data products for analytics initiatives. Collaborating with business teams to optimize data usage and support initiatives.
Responsibilities
Lead and mentor a team of data engineers to ensure success for the entire team
Build and support data products for Canadian use: design, curate, and publish self-service connected datasets that increase re-use and quality of the data available in support of business data and analytic initiatives
Design and develop data models and patterns for re-usability in collaboration with Data Governance and Information Architecture teams
Optimize data engineering and preparation activities through automation and leveraging of modern tools and techniques
Collaborate on a daily basis with the core data team and business while assisting with mentoring other engineers on the team
Collaborate with business teams to understand data needs, provide recommendation on solution options, and support business initiatives when required
Inventory critical data elements including lineage, classification, and usage
Create and maintain a strong collaboration with different groups inside the organization
Requirements
Mathematics, Computer Science and/or Data Analytics degree
5+ years in leadership position
7+ years of applied data engineering experience (Data & Analytics education an asset)
Expertise and knowledge of SQL, Python, Azure, Databricks, Synapse, ADF and PowerBI
Strong understanding of data modeling and ability to apply different techniques within a cloud platform
Excellent communication, presentation, and strong organization skills
Excitement to share learnings with others across the company, including senior leadership and community of practice participation
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