Data Engineering Developer
Longueuil, Quebec, Canada
CAD 105K-131K (estimate) Senior-level Full Time
Tasks
- Analyze and transform large scale datasets
- Build analytical data models
- Design analytical solutions for clients
- Design event driven streaming architectures
- Develop and orchestrate data pipelines
- Implement ETL/ELT pipelines
- Implement data quality validation traceability
- Integrate analytics into data products
- Program data processing in Python
Perks/Benefits
- Employee assistance program
- Flexible work schedule
- Hybrid work schedule
- Retirement savings plan
- Tailored training
- Vacation time
- Work-life balance policy
Skills/Tech-stack
API | Apache Spark | Azure Data | Azure Data Factory | Azure Event | Azure Event Hubs | DBT | Data Factory | ELT | ETL | Event Hubs | Infrastructure as Code | Kafka | Microservices | Microsoft Azure | Microsoft Fabric | NumPy | Pandas | PySpark | Python | SQL | Scikit-learn | Snowflake | Terraform | “as-code”
Education
Associate Degree | 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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