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sql python dbt data modeling airflowπ Description
- Own the technical vision and architecture for the Unified Customer Data Mart.
- Design end-to-end data pipelines (Bronze-Silver-Gold) for CDP, reporting, activation.
- Define and evolve data modeling standards for customer data.
- Decompose complex requirements into technical solutions and align with stakeholders.
- Architect and build production-grade data pipelines using DBT and Airflow for analytics.
- Partner with stakeholders to translate journey requirements into robust data architectures.
π― Requirements
- Deep expertise in SQL and Python.
- 5+ years in data engineering or data architecture.
- Experience designing data lakes and cloud data warehouses.
- Hands-on with DBT for transformations.
- Hands-on with Google BigQuery (mandatory) or Snowflake/Databricks.
- Hands-on with Airflow (or similar).
- Experience with medallion or layered data architectures.
- Strong dimensional modeling (star/snowflake schemas).
π Benefits
- Hybrid flexibility: 3 days/week in Toronto office.
- Comprehensive benefits: 100% health, dental, vision from day one.
- Real impact: Build AI systems for Fortune 500 clients.
- Growth and learning: Continuous learning opportunities and influence over technical direction.
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