Senior Data Engineer
Vancouver - Guinness Tower, Canada
CAD 94K-129K Senior-level Full Time
Tasks
- Build data pipelines
- Build dimensional analytics models
- Configure metadata driven ingestion
- Configure unity catalog security
- Define data quality checks
- Deploy using infrastructure as code
- Design data models
- Design data pipelines
- Develop PySpark and SQL transformations
- Develop data validation regression reconciliation tests
- Enforce data governance
- Generate pipeline code using YAML
- Implement SCD patterns
- Implement column level security
- Implement data quality monitoring
- Implement medallion architecture
- Implement row level security
- Maintain data pipelines
- Support deployment validation
- Support testing standards
Perks/Benefits
Skills/Tech-stack
3NF | Access Control | Asset bundles | Attribute-Based Access Control | Attribute-based access | Azure Databricks | CI/CD | Change Data Capture | Column-Level Security | Data Capture | Data Governance | Data Quality | Data Validation | Data Vault | Data Vault 2.0 | Data quality monitoring | Databricks (asset) | Databricks Asset Bundles | Databricks Spark | Databricks Spark Declarative Pipelines | Declarative Pipelines | Delta Lake | Dimensional Modeling | Incremental loading | Information Engineering | Infrastructure as Code | Inmon | Kimball | Medallion Architecture | Normalization | PySpark | Python | Quality monitoring | Regression testing | Role-Based Access | Role-Based Access Control | Row Level Security | SAML | SCD | SQL | Slowly Changing Dimensions | Spark Declarative Pipelines | Streaming Ingestion | Unity Catalog | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
Regions
Countries
States
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