Data Quality Analyst 3
Job Summary
This role is responsible for ensuring the accuracy, reliability, and quality of enterprise ETL pipelines and AI-ready datasets. The individual will support analytics, business intelligence, and AI/ML initiatives by validating data pipelines, improving data quality frameworks, and enabling trustworthy model inputs.
Job Responsibilities
- Lead ETL and data quality testing initiatives across multiple data platforms
- Validate data pipelines supporting AI/ML models and analytics dashboards
- Implement AI-assisted testing techniques (anomaly detection, rule discovery)
- Develop reusable SQL/Python-based frameworks for automated data validation
- Review training datasets for consistency, completeness, and data integrity
- Identify and resolve data quality issues across batch and incremental loads
- Partner with data engineers and AI teams to ensure reliability of model inputs
- Ensure adherence to data governance, QA standards, and best practices
- Support Agile delivery through CI/CD-aligned data testing processes
Job Requirement
Experience:
- 6–10 years in ETL/Data Warehouse testing and data quality engineering
- Strong SQL expertise (joins, aggregations, subqueries)
- Solid understanding of data warehousing concepts (fact/dimension models, star schema)
- Hands-on experience in ETL testing tools (Informatica, Talend, DataStage, ADF, etc.)
- Experience with databases such as Oracle, SQL Server, Snowflake, Teradata, PostgreSQL
- Exposure to AI/ML data pipelines and feature engineering validation
- Familiarity with data observability or AI-enabled QA tools
- Working knowledge of Agile and CI/CD practices
Good to Have:
- Experience with cloud platforms (AWS, Azure, GCP, Snowflake)
- Basic Python or shell scripting for data validation
- Exposure to BI tools (Power BI, Tableau) validation
- Experience in Agile/Scrum environments
Education:
- Bachelor’s degree in Computer Science, IT, Engineering, or equivalent
Equal Opportunity Employer:
NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification.
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Learn moreNetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. We pledge to take every reasonable step to ensure that our applicants and employees are respected, treated fairly, and with dignity. See the EEO poster. NetApp makes reasonable accommodations, consistent with applicable laws, for religious purposes and for the known physical or mental limitations of an otherwise qualified applicant or employee with a disability, who can perform the essential job functions unless undue hardship would result.
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