Data Engineering Developer
Longueuil, Quebec, Canada
CAD 105K-140K (estimate) Senior-level Full Time
Tasks
- Build analytical data models
- Design analytical solutions
- Design event driven streaming architectures
- Develop data pipelines
- Implement data processing in Python
- Implement data quality validation
- Integrate analytics via APIs and microservices
- Optimize data pipelines
- Orchestrate ETL/ELT pipelines
- Process large scale data for analytics
Perks/Benefits
- Comprehensive group benefits
- Employee assistance program
- Family assistance program
- Flexible work schedule
- Hybrid work
- Retirement savings plan
- Share purchase opportunity
- Tailored training
- Vacation time
- Work-life balance policy
Skills/Tech-stack
APIs | Apache Spark | Azure | Azure Data | Azure Data Factory | Azure Event Hubs | DBT | Data Factory | Data Modeling | Data Quality | Data Validation | ELT | ETL | Event Driven | Event Hubs | Event-driven architecture | Infrastructure as Code | Kafka | Microservices | Microsoft Azure | Microsoft Azure Event Hubs | Microsoft Fabric | NumPy | Pandas | Polars | PySpark | Python | SQL | Scikit-learn | Snowflake | Terraform | “as-code”
Education
Bachelor of Arts | 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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