Data Engineer
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Summary
Designs and optimizes cloud-native data pipelines, integrates systems via ontology frameworks, and ensures data quality and governance for AI/ML initiatives.
- Automate monitoring validation and testing
- Create curated datasets for AI ML initiatives
- Design and optimize data pipelines
- Develop ontology driven data integration frameworks
- Establish data quality metadata lineage and governance
- Implement data architectures for cloud native distributed environments
- Lead data engineering solution design and implementation
- Maintain technical documentation and data standards
- Optimize data processing performance
- Provide technical leadership mentoring and knowledge transfer
Perks/Benefits:
- Leadership development
- Professional development