We are looking for a highly skilled techno‑functional professional with strong expertise in SQL, Python, and AI/Advanced Analytics to design, build, and scale data-driven insights for business stakeholders. The role requires strong business acumen, SQL expertise, and the ability to design sustainable, scalable solutions using modern AI‑assisted development approaches.
This individual will play a critical role in translating business needs into automated workflows, data solutions, and AI‑driven outputs that enhance operational efficiency and decision‑making.
Job Requirements
Business & Functional Partnership
Partner with business stakeholders to understand requirements, challenges, and operational workflows
Translate business needs into clear functional and technical specifications (BRDs, use cases, process flows)
Provide consultative guidance on automation opportunities and scalable solution design
Configure intent-based and goal-driven agents without traditional ML coding
Stakeholder Engagement & Ownership
Collaborate with business leaders to deliver data-driven solutions
Own end-to-end solution lifecycle: requirement gathering → development → deployment → adoption
Document solutions, data definitions, and business logic clearly
Must-Have
Power BI: Strong expertise in DAX, data modelling, and performance tuning
SQL: Advanced proficiency across analytical and transactional databases
Python: Hands-on experience in data analysis, automation, and ML workflows
Data Modelling: Strong knowledge of star schema, KPIs, and dimensional modelling
AI/ML Fundamentals: Understanding of regression, classification, forecasting, and model evaluation
Strong business acumen with the ability to translate data into actionable insights
Nice-to-Have
Experience with cloud data platforms (Snowflake, Azure Synapse, BigQuery, Redshift)
Familiarity with Power Automate, Microsoft Fabric, or Azure AI services
Experience building self-service analytics platforms
Knowledge of data governance, security, and role-based access
Exposure to Copilot, chatbots, or conversational analytics
Education
Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, Data Science, or related field
Typically requires a minimum of 7- 13 years of related experience. Flexible based on proficiency
Shift Timings will be : 2:00 PM to 11:00 PM (IST)
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.
If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.
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.
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