Description

You own the process of ensuring data integrity across systems.

You will validate ingested data against business rules, technical specifications, and quality standards. Conduct data profiling and analysis to identify quality issues and anomalies. Perform data reconciliation to ensure accuracy and completeness across systems. Design and implement automated testing frameworks for data pipelines and ingestion processes. Monitor data pipeline health and proactively identify quality degradation or failures.

Responsibilities

• Validate ingested data against business rules and quality standards.
• Conduct data profiling and analysis to identify anomalies.
• Perform data reconciliation to ensure accuracy and completeness.
• Design and implement automated testing frameworks for data pipelines.
• Monitor data pipeline health and identify quality degradation.

Required Skills

• 5+ years of experience in data quality analysis.
• Experience with CI/CD practices.
• Knowledge of Data Quality Metrics.
• Familiarity with Service Level Agreements (SLAs).
• Ability to perform root cause analysis on data quality incidents.
• Experience developing test strategies for functional and regression scenarios.
• Skills in data profiling and anomaly detection.

Key Skills

Education

Any Gradute