Lead Data Engineer - Oracle SQL
Ciudad Autónoma de Buenos Aires, Argentina
USD 172K-205K (estimate) Senior-level Full Time
Tasks
- Apply machine learning and generative AI for analytics
- Build KPI metric and dimension logic
- Conduct root cause analysis for data quality issues
- Design complex SQL and PL SQL solutions
- Design materialized views and indexing
- Develop and optimize data pipelines
- Implement ETL and ELT workflows
- Implement database backup recovery and archiving
- Maintain reusable reporting datasets
- Perform data validation and reconciliation
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | Cause analysis | Data Modeling | Data Quality | Data Reconciliation | Data Validation | Data integration | Database performance | Database performance tuning | ELT | ETL | Generative AI | Indexing | KPI | Kettle | Linear Algebra | Machine Learning | Materialized views | NoSQL | Oracle Database | PL/SQL | Pentaho Data Integration | Performance Tuning | Python | Query Optimization | Retrieval-Augmented Generation | Root Cause Analysis | Root cause | SQL | Schema Design | Statistics | Vector Search | Vector embeddings
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
Regions
Countries
States
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