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 proposing ideas

-Enjoy full social insurance, health insurance, labor contracts, vacation days and other benefits according to state regulations.

-Parking allowance

-Regular annual salary increase

-Training and capacity development to meet job requirements and promotion path

-Participate in courses when necessary

-Weekly/monthly/quarterly/yearly bonuses and project bonuses

-Holiday/Tet bonuses

-Young, friendly and dynamic working environment.

-Travel: 1 time/year

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

  • Working hours: HC 07 hours/day (Morning from 08:00 - 11:30, Afternoon from 13:00 - 16:30), from Monday to Friday, off on Saturday & Sunday. 

  • Working equipment: provided