Data Engineer
Toronto, ON, CA, M5H1B6
CAD 120K-164K (estimate) Senior-level Full Time
Tasks
- Build batch and streaming pipelines
- Collaborate with analytics and data science teams
- Debug Spark job failures and performance issues
- Design Spark applications
- Develop reusable Spark frameworks and utilities
- Follow code quality testing logging and documentation best practices
- Optimize spark job performance
- Process structured and semi-structured data
- Write production quality Spark code
Perks/Benefits
- Accessibility accommodations
- Community engagement
- Employee resource groups
- Flexible vacation
- Online courses
- Personal days
- Sick days
- Team collaboration space
- Tuition assistance
Skills/Tech-stack
Apache Airflow | Apache Spark | Azure | Azure Data | Azure Data Factory | Azure Databricks | CSV | Data Factory | Data Lakes | Databricks | Delta Lake | Distributed Systems | Git | JSON | Java | Parquet | Python | SQL | Scala
Education
Bachelor of Engineering | Bachelor of Engineering in Computer Science | Bachelor of Science | Bachelor of Science in Computer Science
Roles
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