Résumé
About the Role
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.
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
Benefits and Rewards: Learn about all the ways we’ll help you thrive personally and professionally.
Read our handbook (PDF 30 MB)
