Data Quality Engineer for Master Data
Bangalore, IN, 560066
INR 2000K-2750K (estimate) Mid-level Full Time Found 5d ago
Tasks
- Build and operate data quality controls for master data
- Build scalable DQ pipelines in Databricks
- Contribute to data quality architecture design
- Design and implement data profiling validation deduplication/entity resolution
- Engage stakeholders for data quality needs
- Ensure AI agents and analytics consume reliable data
- Integrate DQ with Collibra
- Lead PoCs on data quality tooling
- Migrate SAP Information Steward assets
- Partner with Business to automate data quality checks
- Provide APIs/services for data quality enforcement
- Transition rules and scorecards from SAP Information Steward to new solutions
Perks/Benefits
- Constant learning
- Global environment
- Great benefits
- Influence on architecture
- Opportunities for growth
- Skill growth
Skills/Tech-stack
AI/ML | AI/ML data | AI/ML data readiness | Address Standardization | CDS Views | Data Intelligence | Data Management | Data Services | Data profiling | Data readiness | Databricks | Deduplication | Delta Lake | Fuzzy Matching | Governance | HANA SQL | ML data readiness | OData | PySpark | Python | Reference Data | Reference Data Management | SAP Data Intelligence | SAP Data Services | SAP data | SQL | Spark | Survivorship | Unity Catalog
Roles
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