Data Engineering
Tasks
- Build data validation frameworks
- Define raw to curated standards
- Design data models
- Develop ETL/ELT pipelines
- Ensure secure data access
- Implement RAG data pipelines
- Implement data governance
- Ingest large-scale data
- Lead data engineering teams
- Optimize data platform performance
- Parse semi-structured data
- Process event and telemetry data
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | Access Control | Amazon Redshift | Anomaly Detection | Audit Logging | Azure AI | Azure AI Search | Azure AI Search Vector Index | Azure Blob | Azure Blob Storage | Azure Data | Azure Data Factory | Azure Data Lake | Azure Event | Azure Event Grid | Azure Fabric | Azure Fabric Warehouse | Azure Functions | Azure ML | Azure ML Feature Store | Azure Machine Learning | Blob Storage | Cosmos DB | Data Access Control | Data Deduplication | Data Factory | Data Governance | Data Ingestion | Data Lake | Data Modeling | Data Quality | Data Validation | Data access | Data encryption | DynamoDB | ELT | ETL | Event Grid | Fabric Warehouse | Feature Store | ML feature store | Machine Learning | OpenSearch | PostgreSQL | Python | SQL | Schema Design | Vector Databases | Vector index
Education
N/A
Roles
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