Senior Data Management Professional - Data Automation Engineer - People Data
Tasks
- Automate data acquisition
- Build monitoring frameworks
- Classify extract enrich reconcile validate prioritize data
- Collaborate with product and engineering teams
- Conduct integration testing
- Conduct unit testing
- Define data quality rulesets
- Define success metrics for automation impact
- Design scalable data onboarding
- Develop AI-enabled data workflows
- Develop data quality metrics
- Educate colleagues on data quality and automation
- Implement preventive controls
- Improve data quality
- Maintain and validate datasets
- Perform data profiling
- Reduce manual effort with automation
- Write production-ready code
Perks/Benefits
- N/A
Skills/Tech-stack
AI | Automation | Data Governance | Data Management | Data Operations | Data Pipelines | Data Quality | Data acquisition | Data profiling | Integration Testing | Language Processing | Machine Learning | Natural Language | Natural Language Processing | Python | QlikSense | Rules based | Rules-based automation | Tableau | Unit Testing | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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