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Data Extraction and Automation Specialist
1 month ago
Job Overview:
As a Data Scraping and Automation Specialist, you will also take on responsibilities related to Python web app development and deployment. Your role will encompass designing, building, and deploying web applications, web scrapers, and automating data workflows to deliver clean, structured data for various projects. You will work closely with our digital marketing and development teams to implement innovative solutions that drive our business objectives.
Key Responsibilities:
- Data Scraping: Design and implement robust web scrapers to collect data from various websites using tools such as BeautifulSoup, Scrapy, Selenium, Puppeteer, or similar.
- Automation: Develop automated workflows for data collection, processing, and reporting using custom scripts or automation platforms like Zapier, Integromat, etc.
- Python Web App Development: Build scalable and interactive Python web applications using frameworks like Flask or Django.
- Deployment: Deploy web applications and scripts to cloud platforms (AWS, GCP, Azure) or servers, ensuring performance, scalability, and reliability.
- Data Cleaning and Structuring: Process and clean raw data, transforming it into structured formats (e.g., CSV, JSON, XML) suitable for analysis and reporting.
- API Integration: Integrate with third-party APIs to collect and process data efficiently.
- Monitoring and Maintenance: Monitor scraping processes, handle dynamic website challenges (CAPTCHAs, IP blocking), and ensure the ongoing functionality of scrapers.
- Collaboration: Work with internal teams to understand data requirements and ensure smooth project delivery.
- Reporting: Develop tools and scripts to automate data reporting and notifications.
Qualifications:
- Proven experience in web scraping using tools like BeautifulSoup, Scrapy, Selenium, Puppeteer, or similar frameworks.
- Strong programming skills in Python, JavaScript (Node.js), or relevant languages.
- Experience in Python web development using Flask, Django, or FastAPI.
- Hands-on experience with data cleaning and structuring tools such as Pandas, SQL, and Excel.
- Familiarity with deployment tools and techniques, including Docker, CI/CD pipelines, and cloud hosting (AWS, GCP, Azure).
- Proficiency in automation tools like Zapier, Integromat (Make), or custom script-based automation workflows.
- Strong understanding of web technologies (HTML, CSS, JavaScript) and web data structures (JSON, XML, CSV).
- Experience in handling anti-scraping measures (CAPTCHA solving, IP rotation, etc.).
- Familiarity with API interaction and integration.
- Knowledge of version control systems such as Git.
- Strong problem-solving and debugging skills.
- Understanding of data protection laws, website terms of service, and ethical scraping practices.
Preferred Qualifications:
- Experience with project management tools such as Asana, Trello, or Jira.
- Knowledge of machine learning techniques for data analysis and automation.
- Experience with large datasets and data visualization tools.
- Proficiency in containerization technologies (Docker).
- Knowledge of web server configurations (NGINX, Apache).
Key Attributes:
- Strong attention to detail and a proactive approach to identifying problems and solving them.
- Ability to work independently, manage multiple projects, and meet deadlines.
- Excellent communication skills and the ability to collaborate with cross-functional teams.
- A passion for developing efficient and reliable software solutions.