Data Engineer

Hong Kong

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Posted 4 weeks ago

Lalamove is disrupting the logistics industry by connecting customers and drivers directly through our technology. We offer customers a lightning fast and convenient way to book delivery and moving services whether they are at their home, at work or on the go. People talk about O2O, we live it!
Currently, Lalamove is a leading global on-demand delivery platform with millions of delivery partners serving millions of orders everyday.With 1600+ employees spread across SEA, INDIA and LATAM, our 6-years old company has reached unicorn status in 2018, is well funded by prominent VCs and has kept growing at tremendous speed since.
Our vision is to bring communities closer and make city life easier by allowing fast and convenient circulation of goods. We realise this vision with a ‘glocal’ approach, building a robust operations team to adapt our product to local networks of businesses and delivery contractors. At the same time, we have ambition to build an international brand by establishing  an even more global presence.
As a Data Engineer at Lalamove, you will be part of the growing data team, which supports different functional departments in the headquarters, as well as over 260+ cities in the highly data-driven company. You will be responsible for creating the technology that moves and translates data used for making business, operations and strategic decisions. The ideal candidate will have a passion for optimising data systems and building them from the ground up.

What we seek:

  • Quick learner: you enjoy working with data systems, and you have 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, passionate with a can-do attitude and own end-to-end projects

What you'll need:

  • At least 4 years of work experience in a data engineering role.
  • Proficiency in SQL and Python
  • Experience with message queuing, and stream processing using tools such as Amazon Kinesis, Apache Kafka, Spark Streaming etc.
  • Experience working with the Hadoop Ecosystem. Experience with MPP databases such as Redshift and working with both normalised and denormalised data models.
  • Comfortable in the Linux environment.
  • Good command of English, fluency in Mandarin is a plus.

What we offer:

  • Fun & Diverse Culture
  • International team Environment
  • Annual Performance Related Bonus
  • Healthcare/Insurance Cover
  • Free Lalamove swag and merch!
  • Monthly credit to use on the Lalamove Application
  • Fresh Fruit delivered daily
  • Well-stocked fridge full of all the refreshments you need to get you through your day
  • Annual Summer company trips
  • 15 days paid annual leave
  • Parental Leave
Job tags: Engineering Hadoop Healthcare Kafka Linux MPP Python Redshift Spark SQL