Sr. Data Engineer
Tasks
- Apply data governance and security controls
- Build test deploy data pipelines
- Design data pipelines end to end
- Implement data validation and quality checks
- Lead design and code reviews
- Mentor team members on engineering best practices
- Orchestrate and schedule data pipelines
- Own production data pipeline delivery outcomes
- Perform production incident investigation and resolution
- Translate business needs into technical solutions
Perks/Benefits
Skills/Tech-stack
API Integration | Access Control | Agile | Alerting | Anomaly Detection | Automated Data Validation | Automated testing | CI/CD | Cause analysis | Confluence | Data Classification | Data Lineage | Data Modeling | Data Quality | Data Services | Data Transformation | Data Validation | Data integration | ETL | Environment promotion | GitHub | Jira | Job Scheduling | Logging | Monitoring | Observability | Python | Root Cause Analysis | Root cause | SAP Data Services | SAP HANA | SAP data | SQL | Scrum | Stonebranch | Workload Automation
Education
Bachelor of Engineering | Bachelor of Engineering Technology | Bachelor of Science | Bachelor of Science in Computer Science
Roles
Regions
Countries
States
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