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 in near real-time
- Own the end-to-end lifecycle of automated quality checks from design through deployment, monitoring, and iteration

Continuous Monitoring and Observability




- Establish data quality KPIs and dashboards to track health metrics across the loyalty data ecosystem
- Monitor platforms continuously for consistency, completeness, accuracy, and timeliness of data
- Proactively identify and escalate data quality risks before they impact customer-facing loyalty experiences
- Maintain runbooks and documentation for monitoring processes and remediation procedures

Cross-Platform Integration Validation
- Validate data flows between loyalty platforms via REST APIs and event-driven pipelines
- Perform integration testing to confirm data fidelity across ingestion, transformation, and consumption layers
- Collaborate with engineers, system owners, and platform vendors to trace and resolve upstream data issues

Requirements
- 5+ years of experience in data quality engineering, data engineering, or a directly related discipline
- Proficiency in SQL with hands-on experience querying and manipulating data in Azure SQL and Snowflake
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📌 Data Quality Engineer (Hyderabad)
🏢 Accellor
📍 Hyderabad