Data Engineer_Sr_Python Specialist
Tasks
- Build reusable data orchestration frameworks
- Build scalable data pipelines
- Create data models and database schemas
- Design data backbone platform
- Document data architecture flows dependencies
- Enable LLM based applications with high quality datasets
- Ensure data consistency integrity quality
- Implement ML data preprocessing labeling augmentation
- Implement feedback loops
- Implement monitoring, logging, alerting
- Integrate AI ML pipelines into data backbone
- Manage data dependency graphs and lineage
- Manage feature stores
- Optimize data storage querying processing performance
- Support model lifecycle workflows
- Translate business logic into data models
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Alerting | Data Augmentation | Data Lineage | Data Modeling | Data Pipelines | Data Preprocessing | Data Quality | Data Storage | Data labeling | Data orchestration | Data storage optimization | Database Schema | Database Schema Design | Databases | Embeddings | Feature Engineering | Feature Stores | LLM | Logging | Machine Learning | Machine Learning Pipelines | Model Deployment | Model Evaluation | Model Training | Model versioning | Monitoring | Python | Query Optimization | RAG | Schema Design | Storage Optimization | Streaming | Vector Databases | Workflow Management
Education
Roles
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