Data & Analytics Engineer (Bangalore, Karnataka, IN)

<div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Job Summary</H2> </div><div><p>The Enterprise Data &amp; Analytics (EDA) organization at NetApp is seeking a highly motivated <strong>Data &amp; Analytics Engineer (IC2)</strong> 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.</p> <p>The ideal candidate will have foundational experience in analytics, data engineering, Power BI, SQL, cloud data platforms, and emerging AI technologies including <strong>Generative AI, Machine Learning (ML), Large Language Models (LLMs), and Agentic AI frameworks</strong>. Exposure to Supply Chain, Procurement, Logistics, Manufacturing, or Enterprise Operations analytics is a plus.</p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Job Requirements</H2> </div><div><p><strong>Key Responsibilites </strong></p> <ol> <li>Develop and maintain Power BI semantic models, dashboards, and reports.</li> <li>Perform data extraction, cleansing, transformation, validation, and analysis.</li> <li>Build and support data pipelines, integrations, and ETL/ELT processes across enterprise platforms.</li> <li>Assist in developing AI-enabled solutions leveraging LLMs, Generative AI, machine learning, and intelligent automation.</li> <li>Support the development of AI agents, conversational analytics, and agentic workflows that improve productivity and decision-making.</li> <li>Ensure data quality, governance, reliability, and consistency across analytics solutions.</li> <li>Collaborate with business stakeholders to gather requirements and translate them into scalable analytics solutions.</li> <li>Document business processes, data flows, technical specifications, and solution designs.</li> <li>Explore emerging technologies in Data Engineering, GenAI, Agentic AI, ML, and Cloud Analytics to identify business use cases.</li> <li>Contribute to building reusable analytics, automation, and AI assets for enterprise-wide adoption.</li> </ol> <div align="center"><hr align="center" size="0" width="100%"></div> <h2><span style="font-size:12.0pt">Required Skills</span></h2> <h3><span style="font-size:12.0pt">Technical Skills</span></h3> <ol start="1" type="1"> <li>1–3 years of experience in Data Analytics, Business Intelligence, Data Engineering, or AI-related projects.</li> <li>Hands-on experience with Power BI development, dashboard design, DAX, Power Query, and semantic modelling.</li> <li>Strong SQL and data analysis skills with exposure to Snowflake, Oracle, Databricks, or modern cloud data platforms.</li> <li>Understanding of data modelling, ETL/ELT pipelines, data integration, and data warehousing concepts.</li> <li>Basic programming experience in Python, SQL, or similar languages.</li> <li>Familiarity with Generative AI platforms such as Azure OpenAI, Microsoft Copilot, OpenAI APIs, or equivalent technologies.</li> <li>Understanding of Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, vector databases, and knowledge search concepts.</li> <li>Exposure to AI/ML concepts including supervised learning, predictive analytics, recommendation systems, and data science fundamentals.</li> <li>Understanding of Agentic AI concepts, AI agents, orchestration frameworks, MCP, tool calling, or workflow automation is desirable.</li> <li>Knowledge of REST APIs, automation technologies, Power Automate, Office Scripts, or similar tools.</li> <li>Understanding of data governance, data quality, security, and metadata management principles.</li> </ol> <div align="center"><hr align="center" size="0" width="100%"></div> <p><strong>Analytical &amp; Business Skills</strong></p> <ol start="1" type="1"> <li>Strong analytical, problem-solving, and critical-thinking abilities.</li> <li>Ability to analyse structured and unstructured data to generate actionable insights.</li> <li>Ability to understand business requirements and translate them into technical solutions.</li> <li>Strong attention to detail with a focus on data accuracy and quality.</li> <li>Exposure to Supply Chain, Procurement, Logistics, Manufacturing, or Operations analytics is an added advantage.</li> <li>Curiosity and willingness to learn emerging AI, ML, and data technologies.</li> </ol> <div align="center"><hr align="center" size="0" width="100%"></div> <p><strong>Collaboration &amp; Communication</strong></p> <ol start="1" type="1"> <li>Strong verbal and written communication skills.</li> <li>Ability to work effectively in cross-functional business and technical teams.</li> <li>Strong collaboration and stakeholder engagement skills.</li> <li>Ability to manage multiple priorities in a dynamic environment.</li> <li>Ability to communicate technical concepts to business audiences and vice versa.</li> </ol></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Education</H2> </div><div><ol start="1" type="1"> <li>Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Data Science, Analytics, AI/ML, or a related field.</li> <li><strong>Minimum 2 years of relevant industry experience required.</strong></li> <li>Experience in Data Analytics, Business Intelligence, Data Engineering, Cloud Analytics, AI/ML, or Generative AI solutions preferred.</li> </ol></div></div></div>