Senior Data Management Professional - Data Engineer - Economics Data
Tasks
- Build scalable data pipelines
- Design automated pipeline controls
- Develop data validation monitoring and exception handling
- Drive data modeling metadata lineage and lifecycle management
- Embed data quality controls
- Establish code quality testing documentation and version control best practices
- Implement workflow orchestration alerting and observability
- Maintain schema change handling
- Mentor team members
- Modernize legacy workflows
- Support data migrations and workflow redesigns
Perks/Benefits
- N/A
Skills/Tech-stack
AI | Agile | Alerting | Anomaly Detection | Automated testing | Automation | CI/CD | Cloud Platforms | Data Governance | Data Integrity | Data Lifecycle Management | Data Lineage | Data Modeling | Data Pipelines | Data Quality | Data Validation | Data integration | Data lifecycle | Data profiling | DataOps | ETL | Exception Handling | Jira | LLM | Lifecycle Management | Machine Learning | Metadata Management | Monitoring | NLP | Observability | Python | Schema management | Statistical Analysis | Version control | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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