Senior Data Management Professional - Data Engineering - Commodities Data
Tasks
- Apply machine learning for anomaly detection
- Automate data ingestion and enrichment
- Build ETL pipelines
- Build observable data pipelines
- Define data quality metrics
- Design and evolve data systems
- Develop data quality monitoring
- Drive data governance and lifecycle management
- Establish data architecture best practices
- Execute data migrations and system redesigns
- Implement data quality controls
- Lead legacy workflow modernization
- Manage technical projects
- Mentor team members and lead technical decisions
- Perform data profiling and root cause analysis
Perks/Benefits
- 401k match
- Dental insurance
- Health insurance
- Life insurance
- Paid time off
- Vision insurance
- Wellness programs
Skills/Tech-stack
Alerting | Anomaly Detection | Artificial Intelligence | Cause analysis | Data Governance | Data Lineage | Data Modeling | Data Observability | Data Quality | Data Reliability | Data Validation | Data migrations | Data profiling | Distributed Systems | ETL | Entity Extraction | LLM | Language Models | Language Processing | Large Language Models | Machine Learning | Metadata Management | 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
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