Data & Analytics Engineer

NetApp, Inc.; Bengaluru; Hybrid; INR 900,000 - 1,500,000; Full time

Job summary

NetApp, Inc. seeks a Data & Analytics Engineer (IC2) to build and support enterprise data, analytics, automation and AI-powered solutions across Operations.

You will partner with business and IT stakeholders to develop semantic models, data products, dashboards and AI-enabled applications driving data-driven decisions. The role requires hands-on analytics, data engineering, Power BI, SQL, and cloud data platforms with exposure to Generative AI, ML, LLMs and agentic AI concepts.

Qualifications

• Bachelor's or Master's degree in CS, Engineering, IS, data science or related field.
• Minimum 2 years of relevant industry experience.
• Experience in Data Analytics, BI, Data Engineering, Cloud Analytics, AI/ML or Generative AI.
• Strong Power BI, SQL and data visualization skills.

Responsibilities

• 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.
• Assist in AI-enabled solutions using LLMs, GenAI, ML and automation.
• Support AI agents and workflows to improve productivity and decisions.
• Ensure data quality, governance, reliability, and consistency.
• Collaborate with stakeholders to translate requirements into analytics solutions.
• Document data flows, specs and solution designs.
• Explore GenAI, ML, Agentic AI and cloud analytics use cases.
• Create reusable analytics, automation and AI assets for enterprise adoption.

Skills

Power BI

SQL

Data analytics

Python

AI/ML concepts

Generative AI

LLMs

REST APIs

Education

Bachelor's or Master's degree in CS/Engineering/IS/Data Science/Analytics/AI

Tools

Snowflake

Oracle

Databricks

Azure OpenAI

Microsoft Copilot

OpenAI APIs

Job description

Job Summary

The Enterprise Data & Analytics (EDA) organization at NetApp is seeking a highly motivated Data & Analytics Engineer (IC2) to help build and support enterprise data, analytics, automation, and AI-powered solutions. This role will partner with business and IT stakeholders to develop semantic models, data products, dashboards, intelligent automation, and AI-enabled applications that drive data-driven decision-making across Operations.

The ideal candidate will have foundational experience in analytics, data engineering, Power BI, SQL, cloud data platforms, and emerging AI technologies including Generative AI, Machine Learning (ML), Large Language Models (LLMs), and Agentic AI frameworks. Exposure to Supply Chain, Procurement, Logistics, Manufacturing, or Enterprise Operations analytics is a plus.

Job Requirements

Key Responsibilites

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

Required Skills

Technical Skills

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

Analytical & Business Skills

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

Collaboration & Communication

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

Education

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

At NetApp, 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:

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 You’ll Thrive at NetApp

At NetApp, 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.

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.

Submitting an Application

To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application.

AI Disclosure

For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support - rather than replace - human decision-making.