Software Engineer
Software Engineer at Teradata (Mumbai). Fresher experience, Not disclosed. At Teradata, we believe that people thrive when empowered with better…
- Company
- Teradata
- Location
- Mumbai
- Work mode
- On-site
- Job type
- Full-time
- Experience
- Fresher
- Salary
- Not disclosed
- Posted
- 2026-11-04
Job description
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
Responsibilities
- 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 24×7 support models. 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.
Key skills
Python, Java, C++, JavaScript, SQL, Databases, Cloud Computing, Data Analytics, AI/ML, Data Engineering
About Teradata
Teradata is the connected multi-cloud data platform for enterprise analytics, solving data challenges from start to scale. Only Teradata gives you the flexibility to handle the massive and mixed data workloads of the future, today — making your data easier to consume everywhere, with no added risk.
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