Data Governance/Data quality with Gen AI/AI
Location(s): Bengaluru, Karnataka, India
INR 3200K-5000K (estimate) Senior-level Full Time
Tasks
- Author and implement data quality rules
- Collaborate with data stewards and IT teams to resolve issues
- Conduct root cause analysis for data quality issues
- Define data quality validation rules
- Design develop and deploy LLM based applications and AI agents
- Develop and execute remediation action plans
- Develop data quality dashboards and scorecards
- Document validation logic and exception handling
- Ensure data policy compliance
- Evaluate data elements for accuracy and completeness
- Maintain data catalog and data dictionary
- Map data lineage using metadata
- Monitor data pipelines and ETL processes
- Perform data profiling on large datasets
- Set up automated data quality alerts
- Triage and track data quality issues
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | Agent Orchestration | Agentic AI | Alerting | Cause analysis | Collibra | Data Catalog | Data Dictionary | Data Governance | Data Lineage | Data Monitoring | Data Quality | Data Quality Rules | Data profiling | Data quality dashboards | ETL | Langchain | Langgraph | Language Models | Large Language Models | Multi-Agent | Multi-agent orchestration | Prompt engineering | Python | Quality Rules | Quality dashboards | Root Cause Analysis | Root cause | SAS | SQL | Tableau | Teradata
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