Data Engineer # 4885
Tasks
- Analyze trends anomalies and risks
- Automate ad-hoc requests
- Build dashboards and reports
- Collect cleanse and analyze lab data
- Conduct testing validation lineage observability
- Create rapid data extracts
- Define and govern KPIs
- Develop predictive analytics models
- Develop real-time monitoring tools
- Enable self-serve analytics
- Ensure data quality and integrity
- Implement process monitoring systems
- Improve process health alerting
- Maintain audit-ready documentation
- Monitor dataset SLAs
- Support regulated compliance reporting
Perks/Benefits
- 401k matching
- Flexible time off
- Medical, dental & vision coverage
- Mindfulness programs
- Work from home flexibility
Skills/Tech-stack
Amazon Web Services | Cause analysis | Coupa | Data Lineage | Data Modeling | Data Observability | Data Quality | Data Quality Testing | Dimensional Modeling | Dimensional data | Dimensional data modeling | ETL | Glue | JMP | Managed Airflow | Minitab | Netsuite | Predictive Analytics | Process analytics | Process control | Python | Quality testing | R | Redshift | Root Cause Analysis | Root cause | S3 | SPC | SQL | Salesforce | Semantic Modeling | Snowflake | Statistical Analysis | Statistical Process Control | Tableau | Web Services | Workday
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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