Big Data OLAP Engineer Intern (Kubernetes & AI)

SHOPEE SINGAPORE PRIVATE LIMITED; Singapore; On-site; SGD 42,000 - 72,000; Full time

Job summary

Shopee Singapore Private Limited's Data Infrastructure team builds a scalable big data platform. You will help develop and optimize OLAP engines (Presto/Trino, ClickHouse, StarRocks, Druid, HBase) and support data teams across the company.

You should be pursuing a bachelor’s degree in CS/Engineering, be proficient in Java (or C++, Go or Python), and comfortable with SQL. Knowledge of Kubernetes and Open Source is a bonus.

Qualifications

• Pursuing a bachelor’s degree or above in Computer Science, Engineering, or related fields.
• Proficient in Java (or C++, Go or Python), with a solid foundation in data structures and algorithms.
• Basic understanding of Big Data / OLAP components and their internal mechanisms (HDFS, Presto/Trino, ClickHouse, Druid, HBase, etc), and comfortable with SQL.
• Excellent team collaboration and communication skills, able to respond and resolve issues promptly.
• Experience with OLAP technologies and data modeling is highly desirable.

Responsibilities

• Participate in the development, optimization and maintenance of our OLAP and Big Data engines and platform, focusing on one of them: Presto/Trino, ClickHouse, StarRocks, Druid, HBase, Milvus, graph or KV store.
• Engage in system performance tuning and troubleshooting, ensuring service stability and high availability.
• Analyze and solve user problems combining user scenarios, and collaborate with the product team to develop and optimize features based on business requirements.
• Contribute to running the engines on Kubernetes, and explore using AI / LLMs to solve complex problems in troubleshooting and governance.
• Write and maintain related technical documentation and SOPs.

Skills

Java

C++

Go

Python

Education

Bachelor's degree in CS/Engineering

Tools

Presto/Trino

ClickHouse

StarRocks

Druid

HBase

Milvus

Job description

Shopee Singapore Private Limited's Data Infrastructure team builds a scalable big data platform. You will help develop and optimize OLAP engines (Presto/Trino, ClickHouse, StarRocks, Druid, HBase) and support data teams across the company.

You should be pursuing a bachelor’s degree in CS/Engineering, be proficient in Java (or C++, Go or Python), and comfortable with SQL. Knowledge of Kubernetes and Open Source is a bonus.