1. Professional Scraping System Development
Technical Requirements:
System Architecture:
- Design cross-platform Python crawling scripts
- Build scalable systems
- Develop parallel crawling solutions
- Manage large, multi-threaded data streams
Technologies:
- Scrapy, BeautifulSoup
- Selenium
- Asyncio, Multiprocessing
- Proxy management
- IP rotation techniques
2. Data Processing and Normalization
Processing Methods:
- Develop API data cleaning processes
- Data transformation algorithms
- Integrity checks
- Remove noisy data
Tools:
- Pandas
- Data validation techniques
- Machine Learning preprocessing
3. Database Management
Specialized Skills:
Advanced SQL:
- Complex queries
- Performance optimization
4. Monitoring & Optimization
Strategy:
- Manage scraping system operations.
- Track scraping performance
- Challenge handling:
- IP blocking
- Speed limiting
- CAPTCHA
- PROFESSIONAL REQUIREMENTS
Education
- Bachelor's degree (GPA > 3.0)
- Major:
- Data science
- Computer engineering
- Data related fields
- English: TOEIC > 700 of IELTS >5.5
Technical Skills
Python Ecosystem
- Asyncio, Multiprocessing
- Data cleaning techniques
- Machine Learning preprocessing
- Advanced error handling
Database & Big Data
- SQL (Intermediate to Advanced)
- NoSQL database management
- PySpark
- Data warehousing
In-depth Experience
- Minimum 1-2 years
- Project implementation:
- Web scraping
- Automatic data processing
- Big data crawling
SOFT SKILLS
System analysis
Problem solving
Independent & team working
Time management
Logical thinking
NICE TO HAVE EXPERIENCES
Big Data experience
Data pipeline design
Working with diverse APIs
Professional certifications
Creativity and initiative in active ideas