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Tech Stack
Tools & technologiesAzureCloudPythonSQL
About the role
Key responsibilities & impact- 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
What you’ll need- 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
- Agile, practical, customer service-oriented mindset
Benefits
Comp & perks- flexible work environment
- fluid career paths
- celebrate internal mobility
- purpose, well-being, and work-life balance
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringdata modelingSQLPythonAzureDatabricksSynapseADFPowerBIdata preparation
Soft Skills
leadershipmentoringcommunicationpresentationorganizationcollaborationcustomer serviceagile mindsetproblem-solvingadaptability
