Data Engineer - Ho Chi Minh City, Việt Nam - Qarma

Qarma
Qarma
Công ty đã được xác minh
Ho Chi Minh City, Việt Nam

1 tuần trước

Đức Nguyễn

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Đức Nguyễn

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Mô tả

About
Qarma is a fast-growing company with HQ in Denmark. We are on a mission to make quality and compliance a game changer in retail and become the leading digital tool
- and platform for brands and retailers.

With the help of breakthrough technology, Qarma reduces administrative complexity, eliminates paper-based reports and simplifies the end-to-end process.


The job


We are looking for a dedicated person to join our Vietnam team, work with our global team to scale our sales, delivery and customer success.


Our customers are operating worldwide, and we are lucky to work with some of the leading fashion and design companies to help them make better products and challenge the way they work today.

This means you will be working closely with a lot of exciting brands and retailers from all over the world.

Our organization reflects this, so you will have customer-facing colleagues in Copenhagen, UK, Vietnam and China. Our development team is based in Åbyhøj in Aarhus.


Your main responsibilities will be:

  • Engage with customers to design and implement data integration with customer's ERP and PLM systems, assisted by Qarma project manager
  • Help customers set up BI dashboards in PowerBI, Tableau and other BI platforms
  • Assist our delivery team in user training and client meetings
  • Technical investigation of problems experienced by users to determine root cause
  • Work with our development team to identify root cause and discuss solutions


You will work closely together with our project management in Ho Chi Minh City, our team in Shanghai, and you will have close contact with the technical team at our headquarter in Denmark.


Requirements:

Professional background

  • Educational background in data science, data engineering, systems integration or similar
  • Professional experience with connecting to APIs using Python, Javascript or other technologies
  • Experience working with large scale data sets
Personal skills

  • Quick learner
  • Motivated for independent problem solving and research
  • Ambition to learn and develop professional skills
  • Motivated by team work and working in an international team