Data Engineer

Thu nhập

Up to 50M

Cấp bậc

Senior

Hình thức

Full Time

Địa điểm làm việc

Hà Nội

Introduction

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.

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.

Required Skills & Experience

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.
Working & growing with a passionate, young, and talented team.
Premium Health Insurance TECHVIFY Care.
13 months’ salary per year.
Evaluate salary annually.
Sponsor and encourage staff to study courses by covering tuition fee, such as Udemy, Coursera.

How to apply

If you are a driven and talented 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: