Data Engineering SME
Summary
Designs and builds cloud-native data pipelines, ETL/ELT workflows, and semantic integration frameworks while establishing data governance and quality standards.
- Automate monitoring validation and testing
- Design data architectures for cloud native environments
- Design, develop, and implement data pipelines
- Develop ETL/ELT pipelines
- Develop ontology driven integration frameworks
- Establish data quality metadata lineage and governance
- Implement knowledge graph and semantic web solutions
- Ingest transform validate and integrate data
- Lead enterprise data engineering solutions
- Mentor and transfer data engineering knowledge
- Optimize data processing performance
- Produce and maintain technical documentation