Senior Data engineer

Thu nhập

Up to 50M

Cấp bậc

Senior

Hình thức

In office


Địa điểm làm việc

Hà Nội

TECHVIFY Corporation is an End to End AI-Powered Digital Transformation Partner.

At TECHVIFY, we don’t just build software.

We engineer breakthroughs.
We innovate with AI, craft with code, and scale with cloud.

We partner with startups, enterprises, and even competitors on a shared mission:
To turn bold ideas into real-world impact.

If you’re looking to lead digital transformation through intelligent software, we’re ready to build with you.

Let’s create the future – together.

Role Overview

As a Data Engineer, you will be responsible for building scalable pipelines, orchestrating workflows, and integrating structured and semi-structured data from multiple sources. You will develop resilient ingestion frameworks, optimize SQL transformations, and apply best practices in testing and automation. While your focus will be on engineering, your work will directly enable advanced analytics and predictive modelling.

Key Responsibilities

  • 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.

Requirements

  • 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

Benefits

  • Salary: Up to 50M
  • 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.

How to apply

If you are a driven and talented Senior Data engineer looking for an opportunity to be part of something extraordinary, please submit your resume and cover letter for consideration.

Join our team and let’s create amazing things together! Send your updated CV to this email address:

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