← Serdao
Data Engineer - Python, Data Processing Acquisition
Serdao · Hồ Chí Minh
Apply on official site ↗
Type
Full-time
Work mode
On-site
Level
Staff
Industry
Engineering / Mechanical
Salary
Thương lượng
Location
Quận 1, Hồ Chí Minh, Hồ Chí Minh
Overview
- Develop and maintain Python-based data processing workflows.
- Clean, validate, normalize, enrich, and transform structured and semi-structured datasets.
- Implement business rules, tagging, classification, and data standardization processes.
- Handle missing values, duplicate records, inconsistent formats, and other data quality challenges.
- Build reusable and maintainable data transformation components.
- Automate ingestion and processing of Excel, CSV, JSON, and other file-based data sources.
- Handle varying file structures, multiple worksheets, inconsistent schemas, and formatting issues.
- Generate standardized output datasets and reports.
- Integrate with internal and third-party APIs to extract and load data from external systems.
- Handle authentication, pagination, rate limiting, retries, and error recovery.
- Monitor and troubleshoot data acquisition workflows.
- Develop and maintain web scraping and data extraction solutions when required.
- Analyze website structures and network requests to identify efficient extraction methods.
- Support collection of external data from public and third-party sources, and maintain existing scraping workflows as source websites evolve.
- Debug and maintain existing Python-based data workflows; investigate production issues and data discrepancies.
- Improve reliability, performance, and maintainability of existing processes.
- Develop logging, monitoring, and operational support mechanisms.
- Support deployment and operation of data workflows within AWS — working with Amazon S3, AWS Lambda, Amazon RDS, Amazon SQS, and Amazon CloudWatch.
- Participate in automation and cloud-based operational improvements.
- Working time: Monday to Friday, 14:00-23:00
- Start date: ASAP
- Engagement: Long-term
- Language: English professional mandatory
- 5+ years of professional experience in data engineering or Python-based data processing.
- Strong Python programming skills.
- Strong experience with Pandas for data processing and transformation.
- Experience working with Excel, CSV, JSON, and other structured data formats.
- Experience consuming and integrating REST APIs.
- Experience with SQL and relational databases.
- Experience with web scraping using tools such as BeautifulSoup, and the ability to fetch data from dynamic websites.
- Experience building automated data processing workflows.
- Hands-on experience with AWS services — S3, Lambda, RDS, SQS, CloudWatch.
- Strong debugging and troubleshooting skills.
- Ability to work effectively with messy and imperfect datasets.
- Strong version control practices using Git.
- Excellent analytical, problem-solving, and communication skills.
Requirements
- Experience with additional web scraping and data extraction technologies such as Selenium or Scrapy.
- Experience with Excel automation.
- Experience consuming GraphQL APIs.
- Experience with workflow orchestration tools.
- Experience with data mining and automation projects.
- Ability to leverage LLMs or other AI models (e.g., Hugging Face models, LLM APIs) to improve existing workflows.
- Education
- Bachelor's degree in Computer Science, Information Technology, or a related discipline (required).
- Why You'll Love Working Here
- Join a French tech company in Vietnam, combining European standards with local agility
- Work in a truly international environment, with 13+ nationalities collaborating daily
- Contribute to projects serving clients in 32 countries worldwide
- Be part of long term, meaningful SaaS projects with real business impact
- Grow your skills through mentoring, code reviews, and collaboration with experienced teams
- Enjoy a professional, supportive, and people focused work culture
- Visa, resident card, and work permit provided for expat profiles working in Vietnam
Summary of facts from the official posting. View original ↗
Interested in this role?
You'll be taken to the employer's official application page.
Apply on official site ↗
Is this your business?
Claim this page, request edits or removal
→