Data Engineer Associate

Develop, test and maintain application features in C# and .NET under the guidance of senior engineers.

Write clean, readable and well-structured code, and improve it based on code review feedback.

Build and consume simple APIs and services, and work with application data through SQL and an ORM such as Entity Framework.

Write and run unit tests, and support functional and regression testing of what you build.

Debug and resolve defects, and investigate issues reported during testing or by users.

Pick up assigned user stories and tasks, estimate them with guidance, and deliver them within sprint timelines.

Use version control and team engineering practices properly — Git branching, pull requests, code review and CI/CD pipelines.

Write and maintain basic technical documentation for the code and components you work on.

Participate in agile ceremonies — stand-ups, sprint planning, reviews and retrospectives — and communicate progress and blockers clearly.

Learn the client’s business context well enough to understand why a feature matters, not only what it does.

Complete assigned training and certification paths on Microsoft technologies, and apply what you learn on the project.

Collaborate with team members across locations, and ask for help early when stuck.

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B.E. / B.Tech (or equivalent engineering degree) in Computer Science, Information Technology or a related discipline, with a consistent academic record.

Fresh graduate with 0–1 years of experience; final-year students graduating this academic year may apply.

Good understanding of C# and the .NET framework / .NET Core, including object-oriented programming concepts.

Strong programming fundamentals — problem solving, algorithms, data structures, time and space complexity.

Working knowledge of databases and SQL — tables, joins, queries and basic data modelling.

Understanding of software engineering basics: debugging, testing, version control and the software development lifecycle.

Strong communication skills in English, written and spoken — able to explain their thinking, ask good questions and work in a team.

Demonstrated ability to learn quickly, with academic or personal projects that show it.

Willingness to work from the office as the team requires, and to build a career in enterprise technology consulting.

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