Senior Data Management Professional - Data Rates
Tasks
- Apply AI and machine learning for data ingestion normalization enrichment
- Build and maintain scalable resilient observable data pipelines
- Design implement automated data quality controls
- Develop monitoring alerting and data reliability frameworks
- Develop validation frameworks for data quality and reliability
- Establish best practices for data architecture pipeline design workflow orchestration
- Identify opportunities for generative AI and automation
- Lead end to end data initiatives and deliver on time
- Mentor engineers and raise code quality standards
- Modernize legacy workflows reduce technical debt
- Own data migrations and system redesigns
- Perform data profiling and root cause analysis
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Alerting | Anomaly Detection | CSV | Cause analysis | Data Architecture | Data Engineering | Data Monitoring | Data Quality | Data Validation | Data profiling | Distributed Systems | ETL | JSON | Jira | Machine Learning | NLP | NoSQL | PDF | Python | Root Cause Analysis | Root cause | SQL | Workflow Orchestration | XBRL | XML
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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