Data Quality Analyst ( ETL/Data Warehouse )
About the role
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, Data Stage, 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
At Net App, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.
Equal Opportunity Employer:
Net App 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.
Why You'll Thrive at Net App
At Net App, you won't wait for the perfect moment—you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure.
Net App is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security.
Our culture
We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do.
If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.
Required skills
SQL
Python
ETL
Data Quality
Data Warehousing
About NetApp
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