ETL and Data Pipelines internships for B.Tech students in Delhi

What students actually build

• Building a RAG system over VIPS-TC corpora requires an end-to-end ingestion and transformation pipeline.
• Data and analytics capstones typically start with an ETL stage the student builds.

How VSET teaches ETL and Data Pipelines

ETL — extract, transform, load — is the process of pulling data out of source systems, reshaping it and landing it somewhere usable. Pipelines are the repeatable, scheduled version of that process. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & DS).

• The AI & DS track at VSET is explicitly oriented towards data pipelines and ETL, making this one of its defining topics.
• Database systems knowledge from the CSE core underpins both the source and destination ends of a pipeline.
• AI & ML, by contrast, leans towards model training, LLMs and agents rather than pipeline construction.

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 ETL and Data Pipelines skills lead

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