Intern DDIT APD D&A Platform Automation Engineering

Novartis; Hyderabad; On-site; INR 446,000 - 670,000; Part time

Job summary

Novartis invites a Platform Automation Engineering Intern to design and implement AI-powered automation across enterprise Data & Analytics platforms. You will validate capabilities, streamline onboarding, and build deployment frameworks for data pipelines while ensuring security and governance compliance.

You will learn about Lakehouse ecosystems, GenAI applications, and modern platform engineering practices, collaborating with global teams and leveraging cloud platforms and APIs to accelerate

Qualifications

• Currently pursuing a B.E./B.Tech degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Electronics, or a related field.
• Strong analytical thinking, problem-solving abilities, and a passion for technology and innovation.
• Interest in AI, automation, cloud platforms, and modern Data & Analytics ecosystems.
• Basic programming knowledge in Python, Java, or similar technologies, with an eagerness to learn new tools and frameworks.
• Strong communication, collaboration, and stakeholder engagement skills.
• Ability to work effectively in a fast-paced, agile, and team-oriented environment.
• Participation in hackathons, research projects, innovation challenges, or open-source contributions is an added advantage.

Responsibilities

• Validate and test new capabilities across enterprise Data & Analytics platforms, ensuring scalability, reliability, and compliance with platform standards.
• Design and develop automation solutions to streamline end-to-end onboarding and provisioning processes for data and analytics platforms.
• Build intelligent deployment frameworks to automate Data Engineering pipeline promotion across environments while validating 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.
• Collaborate with platform engineers, architects, and data engineers to identify automation opportunities and enhance the overall developer experience.

Skills

Analytical thinking

Problem solving

Communication

Collaboration

Stakeholder engagement

Team-oriented

Eagerness to learn

Education

B.E./B.Tech in CS/IT/AI/Data Science/Electronics

Tools

Python

Java

Job description

Job Description Summary

As a Platform Automation Engineering Intern, you will work on designing and implementing AI-powered and Agentic AI-driven automation solutions that simplify and accelerate platform engineering and data engineering activities across the enterprise data ecosystem. This will also help to simplify end-to-end onboarding process.

Job Description

What You'll Do

• Validate and test new capabilities across enterprise Data & Analytics platforms, ensuring scalability, reliability, and compliance with platform standards.
• Design and develop automation solutions to streamline end-to-end onboarding and provisioning processes for data and analytics platforms.
• Build intelligent deployment frameworks to automate Data Engineering pipeline promotion across environments while validating 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 .
• Collaborate with platform engineers, architects, and data engineers to identify automation opportunities and enhance the overall developer experience.

What You'll Learn

• Enterprise-scale Data & Analytics platforms, including Lakehouse, Data Governance, Data Quality, Master Data Management, and Data Access Management solutions.
• Practical application 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 methodologies and collaboration within globally distributed Data & Analytics teams.

Who We're Looking For

• Currently pursuing a B.E./B.Tech degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Electronics, or a related field.
• Strong analytical thinking, problem-solving abilities, and a passion for technology and innovation.
• Interest in AI, automation, cloud platforms, and modern Data & Analytics ecosystems.
• Basic programming knowledge in Python, Java, or similar technologies, with an eagerness to learn new tools and frameworks.
• Strong communication, collaboration, and stakeholder engagement skills.
• Ability to work effectively in a fast-paced, agile, and team-oriented environment.
• Participation in hackathons, research projects, innovation challenges, or open-source contributions is an added advantage.

What We Offer

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

Skills Desired