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rubick

Data Engineer - Consultant

Bengaluru · Entry Level

Older listing - lower visibility likelyVerified listingPosted 79d ago

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Skills required

20 listed
Data AcquisitionWeb CrawlersData CollectionDynamic WebsitesMachine LearningWeb ScrapingData ScrapingCompetitive Intelligence+12 more
Data AcquisitionWeb CrawlersData CollectionDynamic WebsitesMachine Learning

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Job description

Data Engineer - Consultant

Role Overview

You will be responsible for building and maintaining Rubick's data acquisition engine by extracting, validating, and structuring product information from eCommerce websites and marketplaces. This role focuses on developing scalable web crawling solutions that power Product Discovery, Search, Catalog Intelligence, and Market Intelligence platforms.

The role involves three areas: Part 1: The Fundamentals | Part 2: AI-Driven Data Crawling Excellence | Part 3: Innovation & Improvements


Part 1: The Fundamentals

  • Develop, maintain, and optimize web crawlers to extract product data from eCommerce websites and marketplaces.
  • Collect structured and unstructured product information, including product details, pricing, images, specifications, and availability.
  • Clean, validate, and organize extracted datasets to ensure accuracy and consistency.
  • Monitor crawler performance, identify failures, and resolve data extraction issues.
  • Collaborate with Product, Engineering, and Data teams to ensure reliable and timely data collection.
  • Maintain documentation for crawling processes, extraction rules, and data quality standards.

Part 2: AI-Driven Data Crawling Excellence

  • Leverage AI-powered extraction techniques to improve data accuracy and extraction efficiency.
  • Build intelligent crawling workflows using Python and modern web automation frameworks.
  • Develop scalable solutions for handling dynamic websites, JavaScript-rendered content, and anti-bot mechanisms.
  • Utilize browser automation, APIs, proxies, and scheduling tools to maximize crawl success rates.
  • Implement automated data validation and monitoring systems to maintain high-quality datasets.
  • Collaborate with AI and Data Engineering teams to support Machine Learning models and Product Intelligence systems.

Part 3: Innovation & Improvements

  • Continuously optimize crawling performance for speed, scalability, and reliability.
  • Identify opportunities to automate repetitive extraction and validation workflows.
  • Improve data collection strategies by adopting new crawling technologies and AI-assisted solutions.
  • Build reusable crawling frameworks and standardized extraction pipelines.
  • Stay updated with the latest web scraping libraries, browser automation tools, and industry best practices.
  • Contribute to knowledge repositories, documentation, and process improvements across the data acquisition function.

To Have

  • 1+ year of experience in Web Crawling, Data Scraping, Product Matching, Data Extraction, or similar roles.
  • Strong proficiency in Python for web scraping and automation.
  • Hands-on experience with BeautifulSoup, Scrapy, Selenium, Playwright, or similar frameworks.
  • Good understanding of HTML, CSS, XPath, JSON, and DOM structures.
  • Familiarity with REST APIs, proxies, browser automation, and dynamic website scraping.
  • Strong analytical and problem-solving skills.
  • Ability to work with large datasets while maintaining high data quality.
  • Experience in eCommerce, Retail, Marketplace Operations, or Catalog Management is preferred.
  • Exposure to AI-assisted data extraction, Product Intelligence, or Machine Learning data pipelines is a strong advantage.

About Rubick : Company Overview

Rubick OS is a leading platform for brands and marketplaces, enabling seamless management of catalog automation, pricing and competitive intelligence, product listing intelligence, CAST systems, and brand and assortment intelligence.
Our solutions are used across five countries by major brands and marketplaces, including Amazon, Myntra, Reliance Group, Nykaa, Flipkart, Rare Rabbit, Decathlon, Celio, The Bay, Kiabi, Myer, Jumbo, and many more.


Work Model

Work from office – Monday to Saturday

Team Size

250+ Employees

Investors

Invested by Innospark US, Betatron Hong Kong, MJV India, 1Crowd India, and other investors.
Rubick.ai is a place to work if you want to build something foundational rather than incremental—it’s aiming to become the AI operating layer for ecommerce, solving complex, real-world problems across cataloging, pricing, and marketplace operations at scale.
You get high ownership, direct impact, and exposure to various parts of the business, making you an entrepreneur in-house. Rubick operates in the AI segment, which means you will be at the forefront of the technological revolution.
Rubick is profitable and growing and is looking to work with 10,000 brands in the next 2–3 years.
Join us in this exciting journey.


Visit Us

www.rubick.ai

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Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

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Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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