Senior Data Management Professional - Data Engineering - Sustainable Fixed Income Data, Hong Kong
Tasks
- Align with platform evolution
- Apply machine learning for data ingestion
- Apply natural language processing
- Automate data onboarding
- Build automated data quality controls
- Build data pipelines
- Conduct root cause analysis
- Design pipeline architecture
- Detect data outliers
- Develop validation frameworks
- Ensure data observability
- Establish data architecture best practices
- Implement data validation rules
- Improve pipeline maintainability
- Improve pipeline performance
- Lead data quality improvements
- Maintain resilient data pipelines
- Manage technical projects
- Mentor team members
- Modernize legacy workflows
- Orchestrate data workflows
- Perform data profiling
- Perform entity extraction
- Reduce technical debt
- Use large language models for extraction
Perks/Benefits
- N/A
Skills/Tech-stack
Alerting | CSV | Cause analysis | Data Architecture | Data Modeling | Data Quality | Data Reliability | Data Validation | Data pipeline | Data profiling | Database Design | ETL | Entity Extraction | Generative AI | HTML | JSON | Language Models | Language Processing | Large Language Models | Machine Learning | Monitoring | Natural Language | Natural Language Processing | Outlier Detection | PDF | Python | Root Cause Analysis | Root cause | Workflow Orchestration | XBRL
Education
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