Data Engineer
Tasks
- Build data models
- Build scalable reliable high-performance systems
- Contribute technical documentation
- Create MLOps pipelines
- Design data pipelines
- Develop knowledge graphs
- Implement CI/CD
- Implement data contracts
- Ingest sensor data
- Maintain data quality
- Monitor data integrity and consistency
- Monitor system health and data quality
- Perform anomaly detection
- Support predictive maintenance tooling
Perks/Benefits
Skills/Tech-stack
Anomaly Detection | Azure | CI/CD | Cloud Deployed APIs | Cypher | Data Modeling | Data Quality | Data quality monitoring | Databricks | Delta Tables | Docker | Graph Databases | GraphQL | Knowledge graphs | Language Models | Language Processing | Large Language Models | MLOps | Microservices | Natural Language | Natural Language Processing | NoSQL | Predictive Maintenance | Python | Quality monitoring | Relational databases | Unity Catalog | Version control
Education
N/A
Roles
Regions
Countries
States
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