Data Engineering Developer
Québec, Quebec, Canada
CAD 105K-131K (estimate) Senior-level Full Time
Tasks
- Analyze and transform large datasets
- Build analytical data models
- Define analytical architectures
- Design analytical solutions
- Develop data pipelines
- Implement data quality validation traceability
- Integrate analytics into data products
- Orchestrate ETL/ELT pipelines
- Program data processing in Python
Perks/Benefits
- Comprehensive group benefits available from day one
- Employee and family assistance program
- Employer share purchase opportunity
- Flexible work schedule
- Hybrid work mode
- Retirement savings plan
- Tailored training
- Vacation 3 to 5 weeks
- Work-life balance policy
Skills/Tech-stack
Azure Data | Azure Data Factory | DBT | Data Factory | Data Modeling | Data Quality | Data Validation | Data pipeline | ELT | ETL | Infrastructure as Code | Kafka | Microsoft Azure | Microsoft Fabric | NumPy | Pandas | PySpark | PySpark API | Python | SQL | Scikit-learn | Snowflake | Spark | Terraform | “as-code”
Education
Roles
Data Engineer | Data Engineering | Data Engineering Developer | Developer | Engineer
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