Data Engineer
CAN, Ontario, Toronto, 250 Bloor Street East, Canada
CAD 113K-163K Senior-level Full Time
Tasks
- Build and maintain data pipelines
- Build containerized data solutions
- Build data orchestration processes
- Build reusable automation frameworks
- Collaborate with business stakeholders
- Deliver analytics findings to non technical audiences
- Design scalable data infrastructure
- Develop data models and applications
- Document and validate data sources
- Ensure data quality and governance
- Implement ETL/ELT pipelines
- Integrate data from enterprise systems
- Monitor and troubleshoot data pipelines
- Recommend emerging technologies
- Support development, testing, deployment
- Translate business requirements into analytics solutions
Perks/Benefits
- Dental benefits
- Disability insurance
- Employee assistance program
- Flexible work environment
- Health benefits
- Life insurance
- Mental health benefits
- Paid time off
- Retirement savings plans
- Vision benefits
- Wellness benefits
Skills/Tech-stack
AWS | Azure Data | Azure Data Factory | Azure Databricks | Cloud Security | Cloud platform | Data Factory | Data Governance | Data Lakes | Data Lineage | Data Modeling | Data Quality | Data Warehousing | Data orchestration | Docker | ELT | ETL | Git | Google Cloud | Google Cloud Platform | Hadoop | Hive | Kubernetes | OpenShift | Power BI | PySpark | Python | QlikView | Relational databases | SQL | Spark | Tableau
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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