Data Engineering Professional I
Tasks
- Build data models for dashboards
- Collaborate with business partners on technical changes
- Create documentation for QMS and SDLC
- Design manufacturing data driven solutions
- Develop scalable data pipelines
- Enable real time analytics in GxP environment
- Ensure scalable digital products
- Escalate issues
- Implement data engineering for IT systems
- Maintain data pipelines
- Troubleshoot technical issues
Perks/Benefits
- Bereavement leave
- Diversity & Inclusion programs
- Employee assistance program
- Employee referral program
- Group accident insurance
- Group term life insurance
- Healthcare insurance
- Home internet reimbursement
- Hybrid working
- Learning platforms
- Maternity leave
- Mobile Phone Reimbursement
- Paternity leave
Skills/Tech-stack
AWS | Agile | Automated testing | Batch Processing | Code Versioning | Data Modeling | Data Pipelines | Databricks | DevSecOps | ERP | GxP | Historian | LIMS | MES | MongoDB | Oracle | Predictive Analytics | Process Modeling | Real Time | Real-time analytics | Relational databases | SQL | Scrum | Source Code | Source code versioning
Education
Roles
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