- Develop and implement Data Quality rules using SQL and DQ tools such as Acceldata, Experian Aperture, Ataccama, Trillium, or similar.
- Build and support Power BI Data Quality dashboards using data from Snowflake and global systems.
- Perform data profiling, analysis, reconciliation, and root cause analysis (RCA).
- Partner with Data Owners, Data Stewards, Business, and IT teams to define and implement DQ KPIs and monitoring solutions.
- Automate data quality monitoring, issue tracking, and reporting using Power Automate/Power Platform.
- Support AI/ML and AI Agent/Copilot use cases for data quality automation and pattern detection.
- Manage Data Quality incidents and establish continuous monitoring mechanisms.
- Support data matching/linking across multiple data sources and coach data owners/stewards on DQ practices.
Required Skills:
- Strong experience in Data Quality, Data Governance, and Data Management.
- Hands-on experience with Snowflake and advanced SQL/T-SQL.
- Strong Power BI development and dashboarding experience.
- Experience with Power Automate, Power Apps, or Data Flows.
- Experience with DQ/profiling tools such as Acceldata, Experian Aperture, Ataccama, Alteryx, Trillium, or SAS Viya.
- Strong ETL, data reconciliation, profiling, data analysis, and automation skills.
- Experience working with SAP MDG/ECC/S4 HANA is an advantage.
- Knowledge of Collibra/Talend, data lineage, governance, and compliance is desirable.
- Experience with AI-driven data observability or pattern detection is a plus.
- Excellent communication, stakeholder management, and problem-solving skills.
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