Data Engineering internships for B.Tech students in Delhi

What students actually build

• Data and analytics capstone projects require students to build the ingestion and preparation stages themselves.
• RAG systems built over VIPS-TC corpora involve real ingestion, chunking and indexing pipelines.

How VSET teaches Data Engineering

Data engineering is the discipline of building and operating the systems that move, store and shape data for downstream use. It is the plumbing that analytics and machine learning both depend on. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & DS).

• The AI & DS track at VSET explicitly leans towards data pipelines and ETL, which is the core of data engineering.
• Database systems coursework from the CSE core supplies the storage and query foundations.
• Students choosing between engineering-the-data and training-the-models should note that AI & ML is the model-centric track at VSET while AI & DS is the data-centric one.

How students find them

Two channels, used together: the VIPS-TC placement cell, which coordinates campus internship drives, and direct outreach — applying to startups and labs with a specific project to point at. Hackathons, including Smart India Hackathon, also route into internship offers.

Where Data Engineering skills lead

Graduates applying Data Engineering skills typically target roles such as Data Engineer, ETL Developer, Analytics Engineer, Data Platform Engineer, Backend Engineer. Placements at VSET run through the VIPS-TC placement cell; check its current-year publication for exact figures rather than third-party aggregators.