Senior Data Engineer – AI & Intelligent Automation, Vice president
Tasks
- Define agent action constraints and data quality gates
- Define and enforce data standards controls and documentation
- Design build and operate scalable resilient data pipelines
- Enable AI and intelligent automation with governed training and inference inputs
- Ensure pipeline observability reliability and production readiness
- Establish data quality rules monitor dashboards triage issues and coordinate remediation
- Implement auditability and traceability through decision logs and lineage
- Integrate data from internal and external sources
- Model store and serve large-scale datasets
- Perform data stewardship for data quality consistency lineage and lifecycle
- Translate business control requirements into data level and AI control mechanisms
Perks/Benefits
- Employee networks
- Flexible work/life support
- Inclusive development opportunities
- Paid volunteer days
Skills/Tech-stack
API | Agent-based | Agent-based systems | CSV | Data Cataloging | Data Governance | Data Lake | Data Lineage | Data Modeling | Data Quality | Data Warehouse | ELT | ETL | Generative AI | Human-in-the-loop | Machine Learning | Metadata Management | Python | SQL | The Loop | Workflow Orchestration | XML
Education
N/A
Roles
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