Cleared Hybrid Data Engineer (5418)
Tasks
- Automate data ingestion transformation
- Build ELT/ETL pipelines
- Construct data management systems
- Deliver production-ready datasets
- Design scalable data architecture
- Implement data monitoring and lineage tracking
- Improve internal data processes
- Maintain data integrity quality security
- Manage metadata
- Optimize pipeline performance and cost
- Prepare data for AI/ML models
- Support semantic search and analytics
- Troubleshoot pipeline issues
Perks/Benefits
Skills/Tech-stack
API Integration | AWS | AWS Glue | AWS Redshift | Access Control | Apache Airflow | Azure | Azure Data | Azure Data Factory | Data Factory | Data Governance | Data Lineage | Data Modeling | Data Quality | Databricks | ELT | ETL | Embeddings | Event Driven | Event-driven architecture | GCP | Java | Kafka | Metadata Management | Python | Real Time | Real-time Streaming | SQL | Schema Design | Snowflake | Spark | Vectorization
Education
Roles
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