Data Engineer II
Tasks
- Build near real time and batch pipelines
- Collaborate with Business Analysts on data requirements
- Create and maintain data repository models
- Design data solutions
- Design star schema and dimensional models
- Develop and maintain data pipelines
- Develop semantic models and ontologies
- Integrate and transform datasets
- Manage enterprise metadata
- Optimize data pipeline performance
- Support data governance and data quality
- Troubleshoot and debug data pipeline code
Perks/Benefits
Skills/Tech-stack
Batch Processing | Data Governance | Data Modeling | Data Pipelines | Data Quality | Data Repository | Data Transformation | Data integration | Data synchronization | Dimensional Modeling | ELT | ETL | Knowledge graph | Language Processing | Machine Learning | Metadata Management | Natural Language | Natural Language Processing | Near-real-time | Near-real-time Processing | Object storage | Ontology | Real-time Processing | SQL | Semantic Modeling | Star Schema | Time processing
Education
Roles
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