Data Engineering Developer
Sherbrooke, Quebec, Canada
CAD 105K-131K (estimate) Senior-level Full Time
Tasks
- Analyze and transform large scale data
- Build analytical data models
- Design analytical solutions
- Design event driven and lakehouse architectures
- Develop data pipelines
- Implement data quality validation traceability
- Integrate analytics via APIs and microservices
- Orchestrate ETL/ELT pipelines
- Process data with Python and Spark
Perks/Benefits
- Employee assistance program
- Employee stock purchase plan
- Flexible work schedule
- Hybrid work mode
- Retirement savings plan
- Tailored training
- Vacation time
- Work-life balance policy
Skills/Tech-stack
Azure Data | Azure Data Factory | DBT | Data Factory | ELT | ETL | Event Hubs | Infrastructure as Code | Kafka | Microsoft Azure | Microsoft Fabric | NumPy | Pandas | PySpark | Python | SQL | Scikit-learn | Snowflake | Spark | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Engineer | Data Engineering | Data Engineering Developer | Developer | Engineer
Regions
Countries
States
Cities
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