VP - Data Engineering & AI
Tasks
- Architect and deploy AI and RAG solutions
- Build data platform pipelines
- Collaborate with product and engineering stakeholders
- Conduct root cause analysis for platform anomalies
- Debug data discrepancies and perform incident triage
- Design scalable data pipelines lakehouses and real time processing
- Document workflows scoring logic and data flows
- Ensure data governance, quality, security, and compliance
- Lead platform modernization automation and scalability improvements
- Maintain ESG data lifecycle ingestion transformation scoring delivery
- Perform SQL transformations and data modeling
Perks/Benefits
- Career development
- Collaborative workspaces
- Employee resource groups
- Flexible working arrangements
- Learning opportunities
Skills/Tech-stack
AI | Automation | BigQuery | Cause analysis | Compliance | Data Governance | Data Modeling | Data Quality | Data Security | Databricks | Distributed Systems | Incident Response | Lakehouse | PySpark | RAG | Real Time | Real-time Processing | Root Cause Analysis | Root cause | SQL | Time processing
Education
N/A
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