Web Scraper & Data Automation Specialist

About Us:

Position Overview:

Responsibilities:

• Design, develop, and maintain web scraping scripts and automation tools for data extraction from various websites, APIs, and online platforms.
• Implement advanced data scraping techniques to handle large datasets, dynamic content, anti-scraping mechanisms, and complex web structures.
• Clean, transform, structure, and validate extracted data, ensuring its accuracy, consistency, and readiness for analysis.
• Collaborate with data analysts, engineers, and product managers to identify data needs and define scraping strategies.
• Continuously monitor, maintain, and enhance existing scraping tools to adapt to changes in source websites or APIs.
• Leverage open-source libraries and tools such as Scrapy, Beautiful Soup, Selenium, Requests, Puppeteer, and other relevant technologies.
• Automate end-to-end data collection processes, scheduling scrapers to run efficiently and reliably.
• Conduct regular audits of data quality, troubleshoot and resolve issues in scraping operations, and document solutions.
• Stay up-to-date with emerging technologies, trends, and best practices in web scraping, data extraction, and data automation.

Requirements:

• Bachelor’s degree or higher in Computer Science, Information Technology, Data Science, or a related field, or equivalent practical experience.
• 2+ years of proven experience in web scraping, data extraction, and data automation roles.
• Demonstrated proficiency in programming languages such as Python, JavaScript, or similar scripting languages.
• Solid experience with web scraping frameworks and tools like Scrapy, Selenium, Puppeteer, Beautiful Soup, or similar.
• Experience handling and processing data formats such as JSON, XML, CSV, HTML, and APIs.
• Ability to structure, cleanse, and standardize raw data into structured formats for analysis.
• Knowledge of databases and data storage solutions such as SQL, NoSQL, MongoDB, PostgreSQL, or similar.
• Familiarity with cloud-based data processing environments (AWS, Azure, Google Cloud) is highly desirable.
• Strong analytical and problem-solving skills with an eye for detail and accuracy.
• Excellent organizational, time-management, and communication skills.
• Proven ability to work independently and collaboratively in a team environment.

Preferred Skills:

• Experience with Docker or Kubernetes for deploying scalable scraping solutions.
• Familiarity with version control systems like Git.
• Exposure to big data technologies such as Apache Spark, Hadoop, or similar frameworks.
• Understanding of data privacy, compliance, and ethical scraping practices.

Why Join Us:

• Be part of a forward-thinking, data-centric organization.
• Work with cutting-edge tools and technologies.
• Collaborative, diverse, and inclusive team culture.
• Opportunities for continuous learning, growth, and professional development.

If you're passionate about data, automation, and pushing the boundaries of web scraping and data engineering, we'd love to connect with you!

How to Apply: