Data Engineering Intern

Primenumbers Technologies Private Limited · Bangalore

Source and collection record

Last observed by our collector: 8 October 2026 at 11:59 pm IST. This is not a manual review or a confirmation from the employer.

Employer requisition: is77

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Collected role description

A 6-month, in-office internship building Palladium - the data + AI platform trusted by hundreds of mid-to-large Indian enterprises. You'll work directly with the founders and engineering team to acquire, clean, and process large-scale data that powers intelligent search and decision-making. Core work: web scraping and API reverse-engineering, Python data pipelines, PostgreSQL, and preparing data for AI/ML workflows. 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. Strong 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. Perks: Hands-on experience building production data pipelines and infrastructure. Work with large-scale, real-world datasets from across India's economy. Exposure to AI/ML data workflows and intelligent data products. Work directly with the founders in a fast-growing SaaS startup. Build technology used by leading Indian enterprises.