Vacancy Description
Key Responsibilities
Data Cleansing and Profile Deduplication
- Audit customer profile data across loyalty platforms to identify duplicate, fragmented, or corrupted records
- Design and execute profile merge logic using deterministic and probabilistic matching techniques
- Develop and apply data cleansing routines to normalize, standardize, and enrich customer records
- Document merge decisions, audit trails, and remediation outcomes for stakeholder review
Automated Data Quality Checks
- Build and maintain automated validation pipelines to detect data sync failures, schema drift, and referential integrity violations across platforms
- Develop scheduled reconciliation jobs that compare and validate records across mParticle, Braze, Xenial Beanstalk, GiveX, Snowflake, and Azure SQL
- Implement alerting and reporting to surface data anomalies...
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