NetApp Data & Analytics Job Openings 2026 – Apply Now!

NetApp Data & Analytics Job Openings 2026 :-

NetApp is hiring candidates for the role of Data & Analytics Engineer for the Bengaluru, India locations. The complete details about NetApp Data & Analytics Job Openings 2026 are as follows.

Company Name:-NetApp
Required Education:Bachelor’s or Master’s degree
Required Skills:Experience in Data Analytics, Business Intelligence, Data Engineering, Cloud Analytics, AI/ML, or Generative AI solutions preferred.
Job TypeData & Analytics
Job Id135933-en_US
  • Job Position: Data & Analytics Engineer
  • Job Location: Bengaluru, India
  • Salary Package: As per Company Standards
  • Full/Part Time: Full Time
  • Req ID: 135933
  • Education Level: Graduation

Qualifications

Education

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, Data Science, Analytics, AI/ML, or a related field.
  • Minimum 2 years of relevant industry experience required.
  • Experience in Data Analytics, Business Intelligence, Data Engineering, Cloud Analytics, AI/ML, or Generative AI solutions preferred.

Technical Skills

  • 1–3 years of experience in Data Analytics, Business Intelligence, Data Engineering, or AI-related projects.
  • Hands-on experience with Power BI development, dashboard design, DAX, Power Query, and semantic modelling.
  • Strong SQL and data analysis skills with exposure to Snowflake, Oracle, Databricks, or modern cloud data platforms.
  • Understanding of data modelling, ETL/ELT pipelines, data integration, and data warehousing concepts.
  • Basic programming experience in Python, SQL, or similar languages.
  • Familiarity with Generative AI platforms such as Azure OpenAI, Microsoft Copilot, OpenAI APIs, or equivalent technologies.
  • Understanding of Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, vector databases, and knowledge search concepts.
  • Exposure to AI/ML concepts including supervised learning, predictive analytics, recommendation systems, and data science fundamentals.
  • Understanding of Agentic AI concepts, AI agents, orchestration frameworks, MCP, tool calling, or workflow automation is desirable.
  • Knowledge of REST APIs, automation technologies, Power Automate, Office Scripts, or similar tools.
  • Understanding of data governance, data quality, security, and metadata management principles.

Analytical & Business Skills

  • Strong analytical, problem-solving, and critical-thinking abilities.
  • Ability to analyse structured and unstructured data to generate actionable insights.
  • Ability to understand business requirements and translate them into technical solutions.
  • Strong attention to detail with a focus on data accuracy and quality.
  • Exposure to Supply Chain, Procurement, Logistics, Manufacturing, or Operations analytics is an added advantage.
  • Curiosity and willingness to learn emerging AI, ML, and data technologies.

Collaboration & Communication

  • Strong verbal and written communication skills.
  • Ability to work effectively in cross-functional business and technical teams.
  • Strong collaboration and stakeholder engagement skills.
  • Ability to manage multiple priorities in a dynamic environment.
  • Ability to communicate technical concepts to business audiences and vice versa.

Skills Required

Key Responsibilites 

  • Develop and maintain Power BI semantic models, dashboards, and reports.
  • Perform data extraction, cleansing, transformation, validation, and analysis.
  • Build and support data pipelines, integrations, and ETL/ELT processes across enterprise platforms.
  • Assist in developing AI-enabled solutions leveraging LLMs, Generative AI, machine learning, and intelligent automation.
  • Support the development of AI agents, conversational analytics, and agentic workflows that improve productivity and decision-making.
  • Ensure data quality, governance, reliability, and consistency across analytics solutions.
  • Collaborate with business stakeholders to gather requirements and translate them into scalable analytics solutions.
  • Document business processes, data flows, technical specifications, and solution designs.
  • Explore emerging technologies in Data Engineering, GenAI, Agentic AI, ML, and Cloud Analytics to identify business use cases.
  • Contribute to building reusable analytics, automation, and AI assets for enterprise-wide adoption.

NetApp Data & Analytics Job Openings 2026 Application Process:-

Apply In Below Link

Note:– Only shortlisted candidates will receive the call letter for further rounds

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