Data Engineer Senior Consultant
Tasks
- Build business rules engine
- Build data ingestion workflows
- Collaborate with data architects and analysts
- Create master stitched data files
- Create reusable parameterized pipelines
- Design ETL pipelines
- Develop physical data models
- Ensure audit traceability and data continuity
- Externalize business logic into rules engine
- Implement data quality checks
- Implement error handling for workflows
- Implement versioning and governance for rules
- Integrate with MDM sources
- Maintain data transformation jobs
- Optimize pipeline performance
- Orchestrate and monitor data pipelines
- Profile and reconcile datasets
- Set up alerting and monitoring
- Support Agile Scrum teams delivering data modernization
- Unify regional data variations into consolidated model
- Validate rules used in calculations
Perks/Benefits
- N/A
Skills/Tech-stack
Azure | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Synapse | Data Factory | Data Lake Storage | Data Modeling | Data Quality | Data Reconciliation | Data orchestration | Data profiling | Databricks | ELT | ETL | Python | SQL
Education
N/A
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