Data Engineer
Tasks
- Build real-time and batch integrations
- Configure Reltio lifecycle actions
- Configure crosswalks and reference data
- Coordinate issue resolution with downstream systems
- Design MDM data models
- Develop Python custom logic
- Ensure data lineage traceability and compliance
- Implement data quality rules validation and enrichment
- Implement match merge survivorship rules
- Ingest and publish data with Databricks
- Integrate using REST APIs
- Process data with Reltio Integration Hub
- Support data governance stewardship workflows
- Troubleshoot and optimize Reltio performance
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Airflow | Crosswalks | DCR Lifecycle | Data Enrichment | Data Governance | Data Lineage | Data Management | Data Modeling | Data Quality | Data Validation | Databricks | File processing | GitLab | Golden record | Integration Hub | Jenkins | Life Sciences | Lifecycle Actions | Master Data | Master Data Management | Match/merge | Message queuing | Pharma | PySpark | Python | REST API | Reference Data | Reltio | Reltio Integration | Reltio Integration Hub | SOAP | SQL | Survivorship | Unix/Linux
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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