Data Engineering Developer
Laval, Quebec, Canada
CAD 105K-140K (estimate) Senior-level Full Time
Tasks
- Analyze large scale data from simulations and IoT
- Build analytical data models
- Build data quality validation mechanisms
- Design analytical solutions
- Design event driven and real time processing architectures
- Develop data pipelines (ETL/ELT)
- Develop machine learning features and models
- Implement data cleaning, transformation, validation
- Integrate analytics into data products via APIs and microservices
- Orchestrate data pipelines
Perks/Benefits
- Employee assistance program
- Employee share purchase opportunity
- Family assistance program
- Flexible work schedule
- Hybrid work mode
- Paid vacation
- Retirement savings plan
- Tailored training
Skills/Tech-stack
API | Azure | Azure Data | Azure Data Factory | Azure Event | Azure Event Hubs | DBT | Data Factory | ELT | ETL | Event Hubs | Infrastructure as Code | Kafka | Microservices | Microsoft Fabric | NumPy | Pandas | PySpark | PySpark API | Python | SQL | Scikit-learn | Snowflake | Spark | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Data Engineer | Data Engineering | Data Engineering Developer | Developer | Engineer
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