Sr Manager, Data Engineering, R&D Data Catalyst Team
Tasks
- Automate deployments monitoring and incident response
- Build knowledge management tools
- Conduct code reviews
- Design develop and maintain data management tools
- Design semantic layers for report ready consumption
- Develop unit tests and integration tests
- Document software architecture design and operations
- Implement security measures for data and systems
- Integrate data repositories and systems
- Lead data engineering team
- Manage software delivery scope, risk, and timeline
- Monitor system health and performance
- Own software projects from conception to deployment
- Perform root cause analysis and implement preventive measures
- Preprocess clean and transform large datasets
- Translate requirements into software architecture and design specifications
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Business Objects | Cause analysis | Change Data Capture | Clinical Trial Data | Clinical trial | Clinical trial data management | Cloud Computing | Cognos | Data Architecture | Data Capture | Data Management | Data Mastering | Data Transformation | Data Visualization | Data Warehouse | Data harmonization | Data integration | Data profiling | Databricks | Docker | FHIR | Full Stack | Full-Stack Development | Generative AI | Git | HL7 | Incident Response | Integration Testing | Kubernetes | Monitoring | Power BI | Root Cause Analysis | Root cause | SQL | Scrum | Security Engineering | Stack development | Unit Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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