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.
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
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.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ 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
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
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where platform engineering was part of your work. What did you do?
- Tell me about a project where big data was part of your work. What did you do?
- 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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