Novartis Hyderabad Hiring Platform Automation Engineering Intern

Job Description Summary

As a Platform Automation Engineering Intern, you will design and build AI-powered and Agentic AI-driven automation solutions that simplify and speed up platform engineering and data engineering work across the enterprise data ecosystem. The work also helps simplify the end-to-end onboarding process.

What You Will Do

• Validate and test new capabilities across enterprise Data & Analytics platforms, ensuring scalability, reliability and compliance with platform standards.
• Design and develop automation solutions that streamline end-to-end onboarding and provisioning for data and analytics platforms.
• Build intelligent deployment frameworks that automate Data Engineering pipeline promotion across environments while checking adherence to engineering best practices, security controls and governance standards.
• Develop AI and Agentic AI-powered solutions for proactive platform monitoring, observability, anomaly detection, alerting and operational optimisation.
• Work with platform engineers, architects and data engineers to find automation opportunities and improve the overall developer experience.

What You Will Learn

• Enterprise-scale Data & Analytics platforms, including Lakehouse, Data Governance, Data Quality, Master Data Management and Data Access Management solutions.
• Practical use of AI, GenAI and Agentic AI for platform operations, monitoring, automation and engineering productivity.
• Modern Platform Engineering and Data Engineering practices across cloud-native ecosystems.
• Enterprise integration patterns, APIs, automation frameworks and self-service platform capabilities.
• Agile delivery methods and collaboration within globally distributed Data & Analytics teams.

What We Offer

• Hands-on experience with enterprise-scale Data & Analytics platforms used across a global organisation.
• Exposure to technologies including Snowflake, Databricks, Collibra, Ataccama, Reltio, Immuta and AI-powered platform services.
• Practical experience with cloud platforms, APIs, automation frameworks, DevOps, Platform Engineering and Data Engineering.
• Opportunity to contribute to AI, GenAI and Agentic AI initiatives with real business impact.
• Mentorship from experienced leaders in Data Architecture, Platform Engineering, Data Governance and AI.
• A collaborative, agile and innovation-driven environment where you can build skills and grow professionally.