Data Engineering Intern

Key Responsibilities

• Build crawlers and scrapers (e.g. with Selenium) and reverse-engineer web APIs to acquire data at scale.
• Design and build Python data pipelines to extract, clean, transform, and process large, messy datasets.
• Model and query data in PostgreSQL - schema design, optimization, and handling large tables.
• Prepare and structure datasets that feed machine-learning models and AI-driven analytics.
• Instrument data quality and reliability across ingestion and processing.
• Deploy and run pipelines on Linux servers, and support monitoring and uptime.
• Work closely with founders and engineers to turn raw data into product features used by Indian enterprises.

Requirements & Tech Stack

• Strong programming skills in Python.
• Comfort working with data - cleaning, transforming, and analyzing large datasets (e.g. pandas, SQL).
• Basic understanding of PostgreSQL or relational databases.
• Familiarity with web scraping, APIs, or data-processing tools is a strong plus.
• Exposure to Linux environments.
• Genuine interest in data engineering, pipelines, and AI/ML data workflows.
• Strong analytical and problem-solving skills with attention to detail.

Qualifications

• Currently pursuing or recently completed a B.Tech in Computer Science or a related field.