MÔ TẢ CÔNG VIỆC
-
- Build data ingestion pipelines for APIs, web data, and files.
- Process structured and semi-structured data (JSON, XML, HTML, CSV).
- Apply sustainable web data collection methods, including session handling, proxies, and request automation.
- Ensure compliance with security regulations and access restrictions when integrating external data sources.
- Optimize SQL queries and transformations for analytical purposes.
- Design, build, and maintain robust Python-based data pipelines.
- Implement testing frameworks and best engineering practices to ensure reliability.
- Ensure data quality, consistency, and scalability across the entire workflow.
- Further details will be shared during the interview.
QUYỀN LỢI
-
- An attractive income level of up to 34,000,000 VNĐ.
- Connection bonus: 1~10 million bonus for anyone who introduces friends and acquaintances to the company.
- Working with large and advanced systems, have the opportunity to develop comprehensive technical skills with complex problems, requiring high accuracy.
- Become one of the influential KeyPerson in the project, high chance to become Leader, Project Manager.
- Participating in personnel engagement activities: Weekend Online Game prizes (Half-Life, AOE, Dota2, LOL, Pubg...), Team Building by week, by month, by project.
- Opportunity for advancement based on ability with corresponding increase in rank and salary increase.
- Opportunity to implement ambitious projects in many countries, exposure to the latest technologies and learn from good colleagues.
- Participate in skills training courses: AWS, Microservices, foreign languages (English, Japanese)...
YÊU CẦU
-
- 5+ years of experience in data engineering, automation, or integration
- Strong hands-on experience with Azure Logic Apps and Azure ecosystem services
- Experience with Microsoft Fabric, Azure Data Factory, Synapse, or similar Azure PaaS solutions
- Good understanding of REST APIs, authentication methods, and system integration patterns
- Experience with Azure DevOps, CI/CD pipelines, and infrastructure automation
- Knowledge of data modelling and governance best practices
- Strong problem-solving, communication, and stakeholder collaboration skills
- Experience with Purview and Power BI is a plus
.png)