Lead Data Engineer
Santiago, Santiago Metropolitan Region, Chile
CLP 49980K-58800K (estimate) Senior-level Full Time
Tasks
- Automate multi source integrations
- Build data quality frameworks
- Conduct gap analysis
- Design ETL pipelines
- Develop data models
- Develop data transformation processes
- Document data lineage
- Lead ETL implementation
- Maintain data integrity
- Map ERP data
- Mentor team members on data engineering
- Optimize data models
- Pilot data pipeline implementations
- Test and refine data standards
- Troubleshoot data inconsistencies
- Validate data for AI and analytics
Perks/Benefits
- AI learning paths
- Career development plans
- Company-provided equipment
- English lessons
- Flexible working options
- Learning opportunities
- Mentorship programs
- Special day rewards
- Travel opportunities
- Udemy business access
Skills/Tech-stack
Azure | Data Lineage | Data Modeling | Data Quality | Data Transformation | Data Validation | Data integration | Data profiling | ETL | Microsoft Fabric | Performance Tuning | Python | Query Optimization | SQL
Education
N/A
Roles
Analyst | Data Analyst | Data Engineer | Engineer | Lead | Lead Data | Lead Data Analyst | Lead Data Engineer
Regions
Countries
States
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