Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Sport Chek
Drive data excellence in financial analytics as a Data Engineer III in Toronto. Leverage Azure Synapse and Databricks for impactful ETL/ELT pipeline development and transformation.
This full-time role focuses on designing, developing, and maintaining scalable ETL/ELT pipelines. Key responsibilities include collaborating with business stakeholders, building data models for reporting, and ensuring data integrity through reconciliation and quality checks. You will enhance the performance measurement systems and support financial reporting with timely datasets.
Key Responsibilities:
- Design and develop ETL/ELT pipelines on Azure platforms
- Collaborate with stakeholders for business requirements
- Maintain scalable data models for financial reporting
- Perform data reconciliation and validation across pipelines
- Document data flows, transformations, and governance standards
Requirements:
- 2-4 years in data engineering or analytics roles
- Advanced SQL and Python proficiency
- Hands-on experience with Azure Synapse and Databricks
- Experience with JIRA for issue tracking
- Familiarity with Power BI/Tableau is a plus
Bring your skills in data transformation and analytics to enhance financial insights in our Toronto team.
Source: Sport Chek careers