Senior Data Management Professional - Data Engineering - Commodities Data
Tasks
- Apply machine learning for data enrichment
- Build data quality controls and monitoring
- Build scalable resilient observable data pipelines
- Define fit for purpose data quality metrics
- Deploy automated anomaly detection
- Design and evolve data systems
- Establish data architecture and pipeline best practices
- Implement ETL pipelines
- Lead data migrations and system redesigns
- Mentor team members and lead technical direction
- Modernize legacy workflows
- Perform data governance and lifecycle management
- Perform data profiling and root cause analysis
Perks/Benefits
- 401k match
- Dental insurance
- Health insurance
- Life insurance
- Paid Holidays
- Paid time off
- Vision insurance
- Wellness programs
Skills/Tech-stack
Alerting | Anomaly Detection | Cause analysis | Data Governance | Data Modeling | Data Observability | Data Quality | Data migrations | Data profiling | ETL | Entity Extraction | Generative AI | LLM | Language Processing | Machine Learning | Monitoring | Natural Language | Natural Language Processing | NoSQL | Python | Root Cause Analysis | Root cause | SQL | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Regions
Countries
States
Cities
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