Data Engineering Developer
Montreal, Quebec, Canada
CAD 105K-131K (estimate) Senior-level Full Time
Tasks
- Analyze and transform large scale data from IoT and real time streams
- Contribute to event driven and cloud analytical architectures
- Design analytical solutions for clients
- Design and maintain analytical data models
- Develop and orchestrate data pipelines ETL ELT
- Implement analytical processing in Python and Spark
- Implement data quality validation and traceability
- Integrate analytics into data products via APIs and microservices
Perks/Benefits
- Comprehensive group benefits
- Employee and family assistance program
- Employee share purchase opportunity
- Flexible work schedule
- Hybrid work mode
- Paid vacation
- Retirement savings plan RRSP
- Tailored training
- Work-life balance policy
Skills/Tech-stack
Azure Data | Azure Data Factory | Azure Event | 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 | Lakehouse | Microsoft Fabric | NumPy | Pandas | PySpark | Python | SQL | Scikit-learn | Snowflake | Snowpark | 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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