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Graduate Data Platform Engineer

The Programme 

As Lalamove continues its rapid expansion we are now opening our doors to hire fresh graduates to join our world-class engineering team!

As a Graduate Data Engineer, you’ll primarily be working on our data platform, data pipelines, and data warehouse, which are the backbone of our company. 

Data platform:  

You will assist in building and enhancing features for our internal data platform, which is the foundation of our data pipelines, and data applications, which is the main data portal and used extensively in our company.

Data pipelines and data warehouse:  

You will assist in building and optimizing data pipelines that are used for making business, operations, and strategic decisions. You will help to implement real-time and batch tasks and design our data warehouse for our downstream internal users.  

Required Skills and Abilities 

What we seek:

  • Ability to learn quickly - you will have the ability to learn new technology and frameworks to support the company’s growth.
  • Detail-oriented - details in implementation will impact the stability and performance of our data platform and pipelines.
  • Ability to juggle tasks - the ability to multitask and stay organized is a necessity at our company, all while making sure that new features and updates are rolled out in a timely manner.
  • Strong communicator - as a Graduate Data Engineer, it is of great importance to communicate frequently with everyone on the tech team to inform them of updates or changes. 

What you'll need:

  • A Computer Science/Engineering or related degree (Must be 2022 Graduate from HK Post-Secondary Institute).
  • A keen interest in big data and the Hadoop ecosystem.
  • Familiar with relational databases and SQL, understanding of data warehouse design is a plus.
  • Knowledge of programming languages such as Python and Java. 
Closed 20 days ago
Closed 20 days ago
  • Job type:Graduate Jobs
  • Disciplines:

    Computer Science, Engineering

  • Citizenships:

  • Locations:

    Hong Kong (Hong

  • Closing Date:7th Jun 2022, 6:00 pm


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