Canopy

Lalamove - Senior Data Engineer (Big Data)

Senior Level
Hong Kong
Senior Data Engineer (Big Data)
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About Us

Lalamove provides on-demand and same-day delivery services by connecting you to our driver partners on our mobile and web apps.


Who we're looking for

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. Onto our sixth year as a start-up, now operating in Hong Kong, China, Taiwan, Thailand, Singapore, Philippines and Vietnam, our aspirations don’t stop there as our model has the ability to transform how goods moved in any city worldwide.


As a Senior Data Engineer in Big Data at Lalamove, you will be part of the growing data team, which supports different functional departments in the headquarters, as well as over 100 cities in a highly technology oriented company. You will select and integrate any Big Data tools and frameworks required to provide requested capabilities. You will design/build/maintain data lake, implement scalable data ingestion routines and high volume/throughput data pipelines in both near real-time and batch modes using best practices of data modeling, ETL/ELT processes in AWS cloud. As an experienced data technologist, you are expected to gather business requirements and translate them into robust, scalable, reliable, state-of-art solutions that work well within the overall data architecture in Lalamove.


What you will be doing in this role:

Who we seek: 

  • 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 take ownership of end-to-end projects. Ability to work independently yet teamwork oriented.

What you will be doing: 

  • Select and integrate any Big Data tools and frameworks required to provide requested capabilities.
  • Design/build/maintain data lake, implement scalable data ingestion routines and high volume/throughput data pipelines in both near real-time and batch modes using best practices of data modeling, ETL/ELT processes in AWS cloud.
  • Gather business requirements and translate them into robust, scalable, reliable, state-of-art solutions that work well within the overall data architecture in Lalamove.
About you:
  • Minimum of 5 years experience in big data technologies with thorough knowledge in the entire Hadoop technical stack, architecture, and infrastructure components.
  • Proven track record in building and maintaining an integrated enterprise Data Lake system.
  • Solid skills in RDBMS, NoSQL databases and Cloud. Familiar with containers and microservices.
  • Expertise in performance and tuning for databases, data storage and retrieval.
  • Expertise in system performance and tuning.
  • Fluent with Scala and python, Pig, MapReduce, Hive.
  • 3+ years of hands-on experience in data streaming processing pipeline, Kafka, Spark, Flume or other equivalent skills. Familiar with Airflow.

Nice to have:

  • Experience in data visualization and business intelligence tools such as Tableau.
  • Experience in Delta Lake, Schema Registry, Splunk, Impala.
What we offer:

Diverse, international team.

  • Work with some of the best talent from all over the world. We are home to 20+ nationalities here and always welcome diversity.

LEARNING OPPORTUNITIES:

  • Growth is part of our culture. We pride ourselves in giving our people the autonomy to excel in their roles and many avenues to develop their skills.

CATERED FOOD & DRINKS:

  • Enjoy fresh fruit, food, and drinks catered on the regular.

FUN, FUN, FUN:

  • Happy Fridays, summer parties, anniversary prizes, monthly team outings, and more to bond as #OneLalamove!

BEST IN CLASS BENEFITS:

  • Generous health insurance and provident fund to ensure our people are protected and secured for the future.

COOL OFFICE SPACE:

  • Large whiteboards, lounge areas, and cold beverages all at your disposal to do your best work yet.

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Unit 403, Innocentre, 72 Tat Chee Ave
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