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Data Engineer Leader

Job requirement

We are looking for curious and talented data engineering leader who has great passion and interest in working in GHN Express - Vietnam‘s Leading Last miles logistics

Top 3 Reasons to Join Us

• Leading data infrastructure and solving many interesting problems at high scale

• Opportunity to develop Big Data and Analysis platform from end-to-end

• Professional and friendly working environment

You will:

• The lead data engineer will be leading the design & development of sustainable data-driven solutions with new generation data technologies to meet the needs of our organization and business customers.

• You will be able to transform complex analytical models into scalable, production-ready solutions and continuously integrate deliverables in production even cloud-based environments.

• Design architect & lead data engineering team to build data warehouse.

• Work with infrastructure and back-end engineering teams to build and extend cross platform ETL, reports generation framework and streaming system for Data analysis and Machine learning

• Design, architect and develop data solutions to help product and business teams to make data-driven decisions.


We‘re always looking for superstars to join our team and we have 4 core values that make us who we are today and define where we are going tomorrow:

• Integrity

• Innovation

• Respect

• Customer-first

Job requirement

Your Skills and Experience

• Strong design & modeling skills and relevant experience 

• Experience with the big data/cloud stack, experienced with NoSQL (MongoDB) and Relational Database Systems 

• Experience on design architect for data platform and management tasks.

• It would be a plus if having experience in working with large datasets and cloud platform - Google Cloud Platform

• You are curious, detail-oriented with analytical mindset and love playing with data, great problem-solving skill, self-driven and love dynamic fast-paced engineering environment.

• 2 years’ + experience in Data Engineering, Analytics, BI reporting, and a sound exposure to advanced analytics.