Data Engineer – Python

• Build ingestion workflows for APIs, web data, and files.

• Handle structured and semi-structured formats (JSON, XML, HTML, CSV).

• Apply resilient scraping practices, including session handling, proxies, and request

automation.

• Ensure compliance with security and access restrictions when integrating external

data sources.

• Optimize SQL queries and transformations for analytics.

• Design, build, and maintain robust Python-based data pipelines.

• Implement testing frameworks and good engineering practices for reliability.

• Ensure data quality, consistency, and scalability across workflows.

• Expert-level Python for data engineering and workflow automation.

• Knowledge of web scraping, ingestion workflows, and handling varied data formats.

• Experience designing and maintaining production-grade data pipelines.

• Familiarity with best practices in testing, monitoring, and pipeline reliability.

• Proficiency with version control (Git/GitHub/Azure DevOps).

• Strong SQL skills for ETL and analytics.

Qualifications

• BSc or MSc in Computer Science, Data Engineering, Software Engineering, or related fields.

• Equivalent practical experience will also be considered

• Salary: Negotiation

• Join a global team and work directly with many talents around the world.

• Opportunities for onsite work in Japan, Singapore, Australia, and many other countries.

• Work and grow in a dynamic, creative, and professional environment.

Healthcare: Premium Health Insurance TECHVIFY Care

• 13 months’ salary per year.

• Annual salary evaluation.

• Sponsor and encourage staff to study courses by covering tuition fees, such as Udemy, Coursera.