Lead Data Engineer
Tasks
- Apply data governance
- Build ETL processes
- Build data visualizations in Power BI
- Collaborate with stakeholders on data requirements
- Conduct code reviews
- Define data models
- Design data architectures
- Develop data pipelines
- Document data pipelines workflows and data models
- Enforce data quality standards
- Ensure database performance
- Identify pipeline bottlenecks
- Implement data architectures
- Implement data pipeline monitoring
- Implement data validation rules
- Improve data documentation
- Integrate data sources
- Maintain data warehouses
- Manage data lakes
- Mentor junior engineers
- Optimize pipeline performance
- Provide technical leadership
- Translate technical concepts to business insights
Perks/Benefits
- Calm app subscription
- Casual leave
- EAP counseling
- Group insurance
- Life insurance
- On call rotating schedule
- Paid time off
- Personal accident insurance
- Sick leave
- Tuition Reimbursement for Childcare
Skills/Tech-stack
Agile | Apache Airflow | Azure Data | Azure Data Factory | Data Architecture | Data Cleansing | Data Engineering | Data Factory | Data Governance | Data Lakes | Data Linking | Data Matching | Data Modeling | Data Pipelines | Data Quality | Data Standardization | Data Transformation | Data Validation | Data Warehousing | Data integration | Data profiling | Database Management | ETL | Monitoring | Power BI | Python | SQL
Education
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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