Trainee

Our Company

At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI.

What You'll Do

• Develop, test, and support software, data, cloud, and AI solutions.
• Work on real-world projects with global clients and teams.
• Analyze requirements and help build scalable technology solutions.
• Collaborate with cross-functional teams to deliver quality outcomes.
• Learn emerging technologies through training and hands-on experience.
• Work in a global delivery environment and, depending on business requirements, support project and managed services engagements, including shift-based operations and 24x7 support models

Who You'll Work With

• Software Engineers, Data Engineers, Cloud Architects, and AI Specialists.
• Project Managers, Business Analysts, and client stakeholders.
• Managed Services, Operations, and Support teams that help ensure the reliability, performance, and continuous improvement of enterprise applications and platforms.
• Cross-functional teams working across application development, cloud, data, analytics projects.
• Mentors and technical experts who will support your growth and learning journey.

What Makes You a Qualified Candidate

• B.E./B.Tech in Computer Science, Information Technology, Information Science, or related streams.
• Strong academic record with no active backlogs.
• Good understanding of programming fundamentals, data structures, databases, and problem-solving concepts.
• Familiarity with at least one programming language such as Python, Java, C++, or JavaScript.
• Basic knowledge of SQL and database concepts.
• Exposure to cloud, data analytics, AI/ML, or Generative AI through coursework, projects, certifications, internships, or self-learning is an advantage.
• Interest in emerging technologies such as Artificial Intelligence, Data Engineering, Cloud Computing, and Analytics.
• Strong analytical thinking and a structured approach to problem solving.
• Good communication and collaboration skills.
• Eagerness to learn, adapt, and work in a fast-paced team environment.