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

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

- Robust programming skills in Python.

- Comfort working with data - cleaning,



transforming, and analysing 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Engineering Intern (Bengaluru)
🏢 Primenumbers Technologies
📍 Bengaluru