Data Engineer - Web Scrapping & Enrichment

2 years

0 Lacs

Posted:5 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Data Engineer


This role is ideal for someone eager to own the entire tech stack, who thrives on early-stage challenges, and loves building innovative, scalable solutions from day zero.


What You’ll Do

  • Web Scraping & Crawling:

    Build and maintain automated scrapers to extract structured and unstructured data from websites, APIs, and public datasets.


  • Scalable Scraping Systems:

    Develop multi-threaded, distributed crawlers capable of handling high-volume data collection without interruptions.


  • Data Parsing & Cleaning:

    Normalize scraped data, remove noise, and ensure consistency before passing to data pipelines.


  • Anti-bot & Evasion Tactics:

    Implement proxy rotation, captcha solving, and request throttling techniques to handle scraping restrictions.


  • Integration with Pipelines:

    Deliver clean, structured datasets into

    NoSQL stores

    and

    ETL pipelines

    for further enrichment and graph-based storage.


  • Data Quality & Validation:

    Ensure data accuracy, deduplicate records, and maintain a

    trust scoring system

    for data confidence.


  • Documentation & Maintenance:

    Keep scrapers updated when websites change, and document scraping logic for reproducibility.


Who You Are

Technical Skills:

  • 2+ years of experience in

    web scraping

    , crawling, or data collection.
  • Strong proficiency in

    Python

    (libraries like BeautifulSoup, Scrapy, Selenium, Playwright, Requests).
  • Familiarity with

    NoSQL databases

    (MongoDB, DynamoDB) and data serialization formats (JSON, CSV, Parquet).
  • Experience in handling

    large-scale scraping

    with proxy management and rate-limiting.
  • Basic knowledge of

    ETL processes

    and integration with data pipelines.
  • Exposure to

    graph databases

    (Neo4j) is a plus.


Soft Skills:

  • Detail-oriented, ensuring accuracy and reliability of collected data.
  • Strong problem-solving skills, particularly in adapting scrapers to evolving web structures.
  • Curious mindset with a drive to discover new data sources.
  • Comfortable working in a fast-paced, early-stage startup environment.


Who We Are & Our Culture


Gala Intelligence


Our culture and values:

We’re united by a single, critical mission - stopping fraud before it impacts businesses. Curiosity, innovation, and proactive action define our approach. We value transparency, collaboration, and individual ownership, creating an environment where talented people can do their best work.


  • Problem-Driven Innovation

    : We're deeply committed to solving real challenges that genuinely matter for our customers.
  • Rapid Action & Ownership

    : We encourage autonomy and accountability—own your projects, move quickly, and shape the future of Gala Intelligence.
  • Collaborative Excellence

    : Cross-team collaboration ensures alignment, sparks innovation, and drives us forward together.
  • Continuous Learning

    : Fraud evolves rapidly, and so do we. Continuous improvement, experimentation, and learning are core to our success.


If you're excited by the opportunity to leverage technology in the fight against fraud, and you're ready to build something impactful from day one, we want to hear from you!


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