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Salary
≈ $24k – $48k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 27, 2026. First seen by Alion on Sep 18, 2026. NetApp scores A on the Alion truth index.

Overview
Company
Impact
Profile match
NetApp is an American data infrastructure company that makes enterprise storage systems and data management software. Founded in 1992, it sells all-flash and hybrid arrays running its ONTAP operating system for file, block and object storage, and offers ONTAP-based services inside the large public clouds, such as Amazon FSx for NetApp ONTAP and Azure NetApp Files, along with data protection and ransomware recovery tools. The company is headquartered in San Jose, California, United States.

Job Summary

We are seeking Business Data Engineer to design, build, and optimize enterprise data solutions across our Data Warehouse, Data Lake, and Data Science ecosystems. This is a hands-on, customer-focused engineering role where you will own end-to-end data pipelines - from source system analysis and data design through development and deployment - using SnowSQL and Informatica Intelligent Cloud Services (IICS).You will also contribute to our growing AI/ML initiatives, driving programs from concept to completion. As a Business Data Analyst you are expected to operate with a high degree of independence, solve complex problems, and collaborate effectively within and across teams.

Job Requirements

Strong technical knowledge across the Data warehouse, Data lake and Data science.

Customer focused with good analytical, logical and problem-solving skills.

Focused on innovation and technology acumen

Strong skill using source system study , data analysis and data design.

Strong development using SnowSQL and IICS.

Should be ready take up the assignments in AI/ML space and drive the programs to the completion.

Should have attained experience and knowledge in solving complex problems.

Should have strong aptitude to learn new technologies.

Should be a good team player who collaborates within and outside the team.

Qualification

5-8 years of progressive experience in Data Engineering, Data Warehousing, Data Lake, or Data Science domains.Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field; or equivalent practical experience.

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