Intern DDIT APD D&A Platform Automation Engineering

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