Lead Data Engineer
USD 170K-205K (estimate) Senior-level Part Time
Tasks
- Apply machine learning and GenAI for reporting
- Build data pipelines
- Collaborate on requirements and data models
- Create materialized views
- Design KPI metric dimension logic
- Design SQL and PL SQL solutions
- Develop data validation and reconciliation
- Ensure data quality
- Implement ETL/ELT workflows
- Implement backup recovery and archiving
- Maintain reporting datasets
- Manage database access control
- Optimize SQL queries
- Perform root cause analysis
- Tune database performance
Perks/Benefits
- N/A
Skills/Tech-stack
Cause analysis | Data Modeling | Data Quality | Data Reconciliation | Data Validation | Data integration | Database Backup | Database performance | Database performance tuning | Database recovery | ELT | ETL | Generative AI | Indexing | Kettle | Machine Learning | Materialized views | NoSQL | Oracle Database | PL/SQL | Pentaho Data Integration | Performance Tuning | Python | Query Optimization | RAG | Retrieval-Augmented Generation | Root Cause Analysis | Root cause | SQL | Schema Design | Vector Search | Vector embeddings | Version control
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
Regions
Countries
States
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