Duties and Responsibilities:
- Assist design, develop, test, and deploy data quality processes using relevant data automation tools (i.e. BI/Reporting tools, Tableau, Qliksense, SQL tools, SAS DQ etc.)
- Collaborate with business users to identify attributes that require data quality and corresponding business rules. profile data, analyse user requirements, and translate & apply business rules to data quality rules.
- Should have knowledge of Data Governance/quality tools (i.e., IDQ, Collibra, Alteryx etc.)
- Create functional & technical documents - e.g.,
- Contributes to data quality architecture flows, data profiling results, data quality specifications, test plans corporate data management best practices and implementation methodologies
- Check external data for correctness, cross-reference various sources, and benchmark against public sources of truth.
- Build processes and tools to control data ingestion quality for borrower data.
- Work closely with other members of the data operations team to design and implement data quality processes required.
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