Senior Data Engineer

About the role

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

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Lead our internal technical improvement projects

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Involve in the technical design of our data platform

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Ensure and continuously improve the stability and efficiency of the data platform

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Support and troubleshoot technical issues on the data platform

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Explore the application of AI Agents on the data platform to build industry-competitive systems

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Implement the capabilities on data platform for analytics, data science, and data product development

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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

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Strong experience in Java and Spring Boot framework

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Experience in building and designing customized platforms on top of the Hadoop ecosystem (Hive, HBase, Kafka, Flink etc.)

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Strong knowledge of HDFS, Hadoop ecosystem and its components

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Familiar with relational databases (e.g., MySQL) and common NoSQL/caching technologies (e.g., Redis, MongoDB)

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Experience in designing and implementing services that handles large volumes of data

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Strong ability to troubleshoot quickly in case of production issues

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Experience in developing user persona platforms is preferred.