Intern DDIT APD D&A Platform Automation Engineering
Novartis is hiring an Intern DDIT APD D&A Platform Automation Engineering in Hyderabad, India. Level rates it ; you can apply on Level.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Databricks, Python and Java.
- Level files it as an internship.
- Level lists 863 other open roles at Novartis.
- The role was posted in the last few days.
AI in this role
Design and implement AI-powered and agentic automation solutions to streamline enterprise data and platform engineering workflows.
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
How we rate this
Intern DDIT APD D&A Platform Automation Engineering at Novartis rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where platform engineering was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
- Tell me about a project where agentic ai was part of your work. What did you do?
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where observability was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Platform Engineering, Automation, Agentic AI, Data Engineering, and Observability. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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