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Lalamove

Senior Data Engineer

Lalamove is hiring a Senior Data Engineer. Level rates it ; you can apply on Lalamove.

Level's read on this job

  • On Level's scale, this data engineer role is Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include Java, Spring Boot and Hadoop.
  • Level classifies it as a senior role.
  • Level lists 141 other open roles at Lalamove.
  • The role was posted in the last few days.

AI in this role

Senior Data Engineer needed to build and scale the central data platform and infrastructure supporting downstream analytics and machine learning.

javaspring-boothadoophivehbasekafkaflinkhdfsmysqlredismongodb
ai-agentsdata-engineeringplatform-engineeringbig-datadata-infrastructure
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. Since 2013, we have tackled the logistics industry head on to find the most innovative solutions for the world’s delivery needs. We are full steam ahead to make Lalamove synonymous with delivery and on a mission to impact as many local communities we can. We have massively scaled our efforts across Asia and now have our sights on taking our best in class technology to the rest of the world. And we are looking for talented professionals to join us in this journey!!   As a Senior Data Engineer at Lalamove, you will be joining the growing Data Platform team to develop and enhance our data platform. The data platform is the centralized portal that enables engineers and analysts across the company to ingest, process, orchestrate, analyze, and visualize the data of our company. As part of the Data Engineering function, the team will design, develop, maintain, and scale the data platform, including the data infrastructure and data services, which provides the foundation to downstream use cases such as data warehousing, reporting, machine learning, analytics, data products etc.

What you'll do

  • Build and optimize the data platform of the company, which processes large and rapidly growing volume of data
  • Lead our internal technical improvement projects
  • Involve in the technical design of our data platform
  • Ensure and continuously improve the stability and efficiency of the data platform
  • Support and troubleshoot technical issues on the data platform
  • Explore the application of AI Agents on the data platform to build industry-competitive systems
  • Implement the capabilities on data platform for analytics, data science, and data product development
  • Work in a cross-cultural geographically-dispersed team environment

What you'll need

  • 3-5 years of relevant experience in data engineering or software engineering
  • Strong experience in Java and Spring Boot framework
  • Experience in building and designing customized platforms on top of the Hadoop ecosystem (Hive, HBase, Kafka, Flink etc.)
  • Strong knowledge of HDFS, Hadoop ecosystem and its components
  • Familiar with relational databases (e.g., MySQL) and common NoSQL/caching technologies (e.g., Redis, MongoDB)
  • Experience in designing and implementing services that handles large volumes of data
  • Strong ability to troubleshoot quickly in case of production issues
  • Experience in developing user persona platforms is preferred.
  • Fluency in Mandarin required; working knowledge of written English
To all candidates- Lalamove respects your privacy and is committed to protecting your personal data.This Notice will inform you how we will use your personal data, explain your privacy rights and the protection you have by the law when you apply to join us. Please take time to read and understand this Notice. Candidate Privacy Notice: https://www.lalamove.com/en-hk/candidate-privacy-notice

How we rate this

Senior Data Engineer at Lalamove rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsData EngineeringPlatform EngineeringBig DataData InfrastructureJavaSpring BootHadoop

Also common in data engineer jobs at this level

Pay

Typical data engineer job
$150k

This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a project where data engineering was part of your work. What did you do?
  3. Tell me about a project where platform engineering was part of your work. What did you do?
  4. Tell me about a project where big data was part of your work. What did you do?
  5. Tell me about a project where data infrastructure was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI agents, Data Engineering, Platform Engineering, Big Data, and Data Infrastructure. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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