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  • Data engineer/Web scapper - Lucknow - QuickBid Systems Pvt. Ltd.

    QuickBid Systems Pvt. Ltd.
    QuickBid Systems Pvt. Ltd. Lucknow

    2 months ago

    Description

    Job Title:
    Web Scraper / Data Engineer

    Location:
    Remote | Experience: 1+ years


    Responsibilities:
    Design, develop, and maintain robust web scrapers for structured and dynamic data sources.

    Implement headless browser automation using Playwright, Puppeteer, or Selenium to extract content reliably.

    Manage session handling, cookies, CAPTCHAs, and anti-bot mechanisms to ensure uninterrupted data collection.

    Transform, clean, and structure extracted data into usable formats such as JSON, CSV, or directly into databases.

    Integrate scraper outputs with internal APIs, analytics pipelines, or downstream applications.

    Monitor scrapers for failures, performance bottlenecks, and data inconsistencies; implement automated alerting and recovery mechanisms.

    Ensure ethical scraping practices, compliance with site policies, and respect for data usage rules.

    Optimize scraping performance and minimize resource usage, including efficient handling of large-scale data.


    Skills & Experience:
    Proficient in or Python with strong programming fundamentals.

    Hands-on experience with browser automation frameworks (Playwright, Puppeteer, Selenium).

    Deep understanding of HTTP, REST APIs, JSON parsing, and web protocols.

    Knowledge of proxy rotation, anti-detection techniques, rate limiting, and IP management.

    Experience with relational (PostgreSQL) and NoSQL (MongoDB) databases.

    Strong problem-solving skills and ability to debug complex automation scenarios.

    Bonus:
    Experience with cloud platforms (Azure/AWS) and building real-time data pipelines.

    Familiarity with containerization (Docker) and CI/CD pipelines is a plus.


    Perks:
    Fully remote and flexible work environment.

    Opportunity to work on high-scale, real-time data automation and analytics projects.

    Collaborate with a dynamic team solving complex challenges in data engineering.
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