Data Engineering Developer
Québec, Quebec, Canada
CAD 105K-140K (estimate) Senior-level Full Time
Tasks
- Analyze and transform large volumes of data
- Contribute to modern analytical architectures
- Design analytical solutions for clients
- Design and maintain analytical data models
- Develop and orchestrate data pipelines
- Implement data quality validation and traceability
- Integrate analytics into data products via APIs
- Program analytical processing in Python
Perks/Benefits
- Employee and family assistance program
- Employer share purchase opportunity
- Flexible work schedule
- Hybrid work mode
- Retirement savings plan RRSP
- Tailored training
- Vacation
- Work-life balance policy
Skills/Tech-stack
APIs | Apache Spark | Azure | Azure Data | Azure Data Factory | DBT | Data Factory | ELT | ETL | Event Driven | Event Hubs | Event-driven architecture | Infrastructure as Code | Kafka | Lakehouse | Microservices | Microsoft Fabric | NumPy | Pandas | PySpark | Python | SQL | Scikit-learn | Snowflake | Terraform | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Mathematics | Bachelor of Science | Master of Science
Roles
Data Engineer | Data Engineering | Data Engineering Developer | Developer | Engineer
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