Responsible for accuracy, completeness, consistency, and reliability of the data analytics, reporting, and data products across the organization, adhering to best practices, collaborating with cross-functional teams to deliver high-quality software solutions.
Define, implement, and maintain data quality rules, validations, and profiling across key datasets.
Work with Data Engineers and Analysts to identify critical data elements (CDEs) and set quality thresholds.
Establish data quality SLAs and alerting mechanisms for pipeline failures or data anomalies.
Build or integrate tools for automated data validation, profiling, and anomaly detection
Develop test suites for pipelines, including row count checks, null value thresholds, schema validation, and referential integrity.
Contribute to data observability frameworks and contribute to metadata enrichment and data documentation to increase data transparency.
Education: Bachelor's degree or equivalent in Computer Science, Electrical / Electronics Engineering, MIS or related discipline
Experience: Relevant work experience in data quality testing based on the following number of years:
Associate: Prior experience not required
Standard I: Two (2) years
Standard II: Three (3) years
Senior I: Four (4) years
Senior II: Five (5) years
Knowledge, Skills and Abilities
Fluency in English
Accuracy & Attention to Detail
Analytical Skills
Problem Solving Skills
Microsoft Office & PC Skills
Numerical Skills
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