(Urgent Search) Data Engineer : Web Data Scraping Intern with Full Time opportunity

Company Description

Stylumia, founded in 2015, aims to revolutionize retail strategy and decision-making through advanced intelligence, significantly reducing wastage from unsold products. Utilizing predictive and prescriptive analytics, Stylumia enables brands to anticipate market trends and stay ahead. With features like demand science, real-time consumer intelligence, and an Gen AI-native approach, our solutions drive revenue and profit growth by transforming businesses for brands and retailers globally including the Fortune 100.

Ready to illuminate your future? Partner with us today.

Role Description

This is a internship role with full-time role for a Data Engineer specializing in Web Data Scraping, located in Bengaluru with some work-from-home flexibility. Day-to-day tasks include designing and implementing data extraction, transformation, and loading (ETL) processes, creating and managing data models, and building data warehouses. Additionally, the role involves analyzing datasets to aid in decision-making and optimizing data workflows.

As part of our data team, you’ll contribute to building the foundation of the world’s most secure, accurate demand-driven intelligence system.

Location : [Onsite] | Type : Internship

We’re looking for a Data Scrapy Engineer Intern to help us build scalable web scraping pipelines and manage large datasets powering our analytics and product solutions.

We will conside lateral placement for exceptional talent.

✅ What You’ll Do

Develop & maintain web scraping scripts using Scrapy, BeautifulSoup, Puppeteer / Playwright.

Work with SQL / NoSQL databases to store, process & query data.

Optimize scrapers for efficiency, reliability & scale.

Ensure data accuracy, validation & cleaning.

Collaborate with engineering & data teams to integrate scraped data into downstream systems.

Explore and implement the latest scraping tools & techniques.

✅ What We’re Looking For

Strong programming skills in Python (Node.js is a plus).

Experience with Scrapy and other scraping frameworks.

Familiarity with SQL, Git, Redis, Elasticsearch.

Problem-solving mindset & attention to detail.

Good communication and teamwork skills.

Currently pursuing or completed a degree in CS, Data Science, or related fields.

Nice to Have

Experience with distributed scraping & parallel processing.

Knowledge of Docker & cloud platforms (AWS / GCP / Azure).

Exposure to data preprocessing & visualization tools.

Why Join Us?

Real-world, large-scale data projects

Mentorship from experienced data engineers

Hands-on exposure to modern data tools & pipelines