Backend Engineer Intern, Data Infrastructure - OLAP (Jan-Apr 2026)

Beschreibung:

* Develop and maintain scalable and efficient Big Data platform components and OLAP engines.
* Collaborate with cross-functional teams to integrate new features and technologies.
* Ensure the reliability and performance of our data infrastructure.
* Troubleshoot and resolve complex technical issues.
* Continuously improve system architecture and design for optimal performance

Ihr Profil:

* Pursuing a bachelor's degree or above in Computer Science, Engineering, or related fields.
* Strong proficiency in programming languages like Java, Scala, or C++.
* Familiar with Big Data technologies (e.g. Hadoop, Spark, Flink and Kafka) and database systems.
* Experience with OLAP technologies and data modeling is highly desirable.

Good To Have:
* Proven experience in backend development, particularly in Big Data platform and OLAP engine development.
* Excellent learning capabilities to adapt to evolving technologies and frameworks.
* Strong problem-solving skills and ability to work under tight deadlines.
* A commitment to in-depth research and specialization in relevant technologies.

Shopee will be prioritizing applicants who have a current right to work in Singapore, and do not require Shopee sponsorship of a visa.
Kindly note that you can only be considered in one recruitment process at a time within Sea Group and will be considered for jobs in the order that you have applied.

The Data Infrastructure team is responsible for building a stable, efficient, secure, and easy-to-use big data infrastructure and platform for the company. Committed to providing the company's various business teams and data teams, data analysts, machine learning teams, BI teams, etc. with its data-efficient and stable data storage, calculation, query, and analysis of the big data basic system; development and production platform, and data analysis platform.

Including data collection, storage, offline calculation of massive data, real-time stream computing, online analysis and processing, instant return query, and other aspects of data infrastructure support, as well as big data development, production scheduling, data quality monitoring, data maps, and other platform services. Provide the upper-level business team and data team with a basic platform for various technical directions such as computing scheduling, batch computing, real-time computing, structured data query, big data analysis, and KV query. Help business teams build data reports, data monitoring dashboards, real-time business data processing, data mining, and analysis, etc