Canopy
Lalamove (HK)

Lalamove - Data Infrastructure Engineer

Mid Level
Hong Kong
Data Infrastructure Team Lead
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About Us

At Lalamove, we believe in the power of community. Millions of drivers and customers use our technology every day to connect with one another and move things that matter. Delivery is what we do best and we ensure it is always fast and simple.

Who we're looking for

As a Data Infrastructure Engineer, you will contribute to the design, build and running of our data infrastructure, to increase the flexibility, scalability and efficiency of the Lalamove data infrastructure, which is the foundation of business analytics, reporting, data engineering and data science. You will be deploying applications and scaling different components of our data platform on AWS. You will contribute to the cost-efficiency and security of the infrastructure, as well as automation and monitoring.

Who you are

What we seek

  • Reliability mindset: you are proactive in thinking about and preventing what could go wrong. You put efforts in measuring and monitoring availability for earlier detection of incidents. When they happen, you quickly find ways to recover. You will also review and do postmortem to make the infrastructure more reliable.  
  • Automation mindset:  you constantly try to analyze and automate processes and tasks to improve efficiency and reduce manual errors. This includes building mechanisms to automatically scale and configuring new clusters.
  • Quick learner: you demonstrate the ability to learn new technology and frameworks quickly.
  • Problem solver: you are a problem solver with strong critical thinking skills, and willing to find creative solutions to difficult problems.
  • High autonomy: self-organized, self-starter, passionate with a can-do attitude and takes ownership of end-to-end projects. Ability to work independently  yet teamwork oriented.

What you’ll need:

  • Experience in managing Hadoop clusters on the cloud and related tools such as Ambari
  • Experience in monitoring tools such as Zabbix and Grafana
  • Experience using data infrastructure tools such as Ansible
  • Experience in linux systems & scripting language such as shell and python
  • Understanding of data technologies that power data platforms (e.g.: Hive, Flink, Kafka, Druid etc.)

Below requirements are good to have:

  • Experience in other infrastructure tools, such as Jenkins, K8s etc.
  • Experience of AWS components and administration in production environments
  • Good command of Mandarin Chinese

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