Data Quality Engineer - Loyalty Platform

Ovii's Interpretation of the Role

The Data Quality Engineer will design, build, and operate automated data‑quality pipelines for a loyalty‑platform ecosystem. Responsibilities include profile deduplication, cross‑system validation, monitoring, and reporting using Azure SQL, Snowflake, C#/.NET and Python.

Role Snapshot

• Design and maintain data‑quality pipelines
• Implement deterministic and probabilistic profile merging
• Automate validation and reconciliation across loyalty platforms
• Build monitoring, alerting, and KPI dashboards
• Develop scripts in C#/.NET and Python
• Query and transform data in Azure SQL and Snowflake
• Collaborate with engineers, system owners, and vendors

Must-Have Requirements

• SQL (Azure SQL, Snowflake)
• C#/.NET
• Python
• REST API testing
• Data quality & deduplication
• Identity resolution techniques
• data quality engineering
• data engineering

Nice-to-Have Signals

• Azure cloud services familiarity
• Experience with loyalty platforms (mParticle, Braze, Xenial Beanstalk, GiveX)
• Background in QSR/retail environments
• Knowledge of CCPA/GDPR
• Data observability and monitoring frameworks
• loyalty platforms
• CDPs
• MarTech ecosystems
• QSR/retail environments
• data privacy regulations
• High‑Tech
• Communication
• Media
• Healthcare
• Retail
• Telecom

Work Setup

• Location: Hyderabad, India
• Work mode: ONSITE
• Employment type: Full-Time

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Education requirement
• Certifications
• Relocation
• Notice period
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Audit and cleanse customer profile data to remove duplicates and corruption
• Create merge logic using deterministic and probabilistic matching techniques
• Build automated validation pipelines that detect sync failures, schema drift, and referential integrity issues
• Develop scheduled reconciliation jobs across mParticle, Braze, Xenial Beanstalk, GiveX, Snowflake, and Azure SQL
• Implement real‑time alerting and reporting for data anomalies
• Define and track data‑quality KPIs via dashboards and monitoring tools
• Validate data flows through REST APIs and event‑driven pipelines
• Collaborate with platform engineers and vendors to resolve upstream data issues

Good Fit If You Have

• Experience with loyalty platforms or CDPs such as mParticle or Braze
• Background in high‑volume consumer‑facing environments (QSR, retail)
• Familiarity with data‑privacy regulations like CCPA or GDPR