Lead Data Engineer (Director Level)
CAN, Ontario, Toronto, 200 Bloor Street East, Canada
CAD 113K-210K Senior-level Full Time
Tasks
- Automate data tools
- Build curated data layers
- Build reusable data products
- Build scalable data pipelines
- Build semantic layers
- Capture business requirements
- Communicate technical ideas in plain language
- Deliver analysis-ready data
- Deliver data ingestion projects
- Deliver data visualization projects
- Develop data models
- Enable analytics with business context
- Enable use of data technologies
- Facilitate stakeholder sessions
- Improve data access
- Improve data engineering processes
- Improve data quality
- Improve data usability
- Improve platform reliability
- Modernize data pipelines
- Own data domain
- Partner with data scientists
- Present solutions to non-technical audiences
- Research data architecture options
- Support data champions programs
- Support decision making analytics
- Test data design ideas
- Translate business insights into technical requirements
- Turn business requests into data products
Perks/Benefits
Skills/Tech-stack
Analytics | Apache Spark | Azure | Azure Databricks | Cloud Data | Cloud data platform | Data Architecture | Data Ingestion | Data Modeling | Data Pipelines | Data Quality | Data Transformation | Data platform | Orchestration | Power BI | Python | SQL | Semantic layer
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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