Lead Data Engineer – AI & Foundation Models
Tasks
- Build cloud native distributed data processing pipelines
- Design scalable data pipelines for AI training inference and experimentation
- Enable feature engineering feature stores and training datasets with AI engineers
- Ensure data quality availability lineage and governance
- Implement data quality checks validation and monitoring
- Lead code and design reviews for data engineering deliverables
- Mentor data engineers and provide technical delivery oversight
- Optimize data modeling schema management partitioning and performance
- Own data ingestion transformation and aggregation for batch and streaming workloads
- Support secure data access with access controls and auditability
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | Apache Spark | Audit Logging | CI/CD | Data Governance | Data Lineage | Data Modeling | Data Partitioning | Data Pipelines | Data Quality | Data Validation | Feature Engineering | Feature Store | Machine Learning | Monitoring | SQL | Schema management | Version control
Education
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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