Systems Data Engineering and Integrator
Tasks
- Analyze end-to-end data lifecycle
- Assess data lineage and infrastructure constraints
- Build data storage orchestration and feature generation pipelines
- Design automated ETL ELT data pipelines
- Document data architecture and lineage diagrams
- Enforce data quality readiness scorecards
- Engineer data transformation workflows
- Identify data performance bottlenecks
- Implement automated data quality gateways
- Implement schemas and metadata tagging
- Integrate systems using APIs and connectors
- Support AI ML dataset preparation
- Test and maintain data pipeline reliability
Perks/Benefits
Skills/Tech-stack
AI Ready | AI-Ready Data | API Integration | Data Lineage | Data Pipelines | Data Quality | Data Transformation | Data orchestration | ELT | ETL | Feature Engineering | Integration | Machine Learning | Metadata tagging | Orchestration | Quality Assurance | Schema Design
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Technology
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