Data Quality Analyst ( ETL/Data Warehouse )
Job Description
At NetApp, your ideas power innovation. We lead in intelligent data infrastructure—delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud.
Ready to innovate and contribute to our path to $10B Here, youll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If youre ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins.
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
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
- 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
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- Bachelors 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.
Why Youll Thrive at NetApp
At NetApp, you wont wait for the perfect moment—youll make it. The early planning, the extra thought, the bold idea that turns good into great: Thats how our people operate and how we continue to push the boundaries of data infrastructure.
NetApp 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 youre ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.
Skills
Data ValidationPythonData GovernanceData IntegrityData WarehousingData Warehousing ConceptsEtlEtl TestingScrumSnowflakeTeradataAi/mlAnalyticsAiGoogle CloudMlSqlAnalystIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
Important dates & deadlines?
Application Deadline
29 Jul 26, 02:57 PM IST
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