Backend Engineer, Data Infrastructure (2027 Graduate)
Shopee · Singapore ·
- Category
- Backend
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.
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.