Data engineer

Thu nhập

Up to 30M

Cấp bậc

Middle

Hình thức

Full Time


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.

Responsibilities

  • Design, develop, and maintain data pipelines and ETL processes to support data analytics and reporting.
  • Collaborate with stakeholders to understand data requirements and deliver effective solutions.
  • Ensure data quality and integrity through rigorous testing and validation processes.
  • Optimize and troubleshoot existing data workflows for performance improvements.
  • Participate in project planning and contribute to the development of data architecture strategies.
  • Stay updated with industry trends and best practices in data engineering and analytics.

Requirements

  • Bachelor’s degree in Computer Science, Information Technology, or a related field.
  • At least 2+ years in this position
  • Proficient in SQL and Python, with experience in Pyspark.
  • Understanding of data modeling, ETL processes, and data warehousing concepts.
  • Experience with data analysis and visualization tools.
  • Ability to communicate effectively in English, both written and verbal.
  • Familiarity with big data technologies is a plus.

Benefits

  • Salary: Upto 30M
  • 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 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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