Backend Engineer, Data Infrastructure (2027 Graduate)

Shopee; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Shopee Singapore is seeking a Data Infrastructure Engineer to build and maintain a scalable Big Data platform and OLAP engines. You will collaborate with cross-functional teams to integrate new features and technologies, ensuring reliability and high performance of our data infrastructure.

You will work on data collection, storage, offline and real-time processing, data analytics and reporting, supporting business, data analysts, ML teams and BI teams with a robust data platform and tooling.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Java

Scala

C++

Big Data

Spark

Hadoop

Flink

Kafka

OLAP

Education

Bachelor's degree or above in CS/Engineering or related fields

Tools

Hadoop

Spark

Flink

Kafka

Job description

About The Team

Shopee will be prioritizing applicants who have a

do not require Shopee sponsorship of a visa.

Kindly note that you can only be considered in

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.

About The Team

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. Comitted 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.

Job Description

• 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.

Requirements

• 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.