Big Data Platform Engineer (Tea Analytics)

BYTEDANCE PTE. LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

ByteDance is seeking a software engineer to join the Tea global engineering team responsible for the Tea analytics platform. You will work on big data storage, processing, and computation infrastructure to support exabyte-scale data and millisecond response times across regions.

The role requires hands-on work with Hadoop, Spark, and ClickHouse, and proficiency in Java, Scala, or Python. A CS degree and 1+ year of experience are expected, with opportunities to impact widely-used products.

Qualifications

• Bachelor's degree in CS or related field.
• At least 1 year of software engineering experience.
• Experience with big data platforms like Hadoop, Spark, ClickHouse.
• Solid programming skills in Java, Scala, or Python.
• Strong CS fundamentals: OS concepts, data structures, algorithms.

Responsibilities

• Oversee deployment, configuration, monitoring, and maintenance of big data platforms.
• Implement and optimize infrastructure for storage, processing, and computation.
• Participate in architectural design, performance tuning, and troubleshooting of big data platforms.
• Analyze and resolve complex system performance and stability issues.
• Write technical documentation for configurations and procedures.
• Update software and develop testing and validation procedures.

Skills

Java

Scala

Python

Big data platforms

Education

Bachelor's Degree in Computer Science

Tools

Hadoop

Spark

ClickHouse

Job description

ByteDance is seeking a software engineer to join the Tea global engineering team responsible for the Tea analytics platform. You will work on big data storage, processing, and computation infrastructure to support exabyte-scale data and millisecond response times across regions.

The role requires hands-on work with Hadoop, Spark, and ClickHouse, and proficiency in Java, Scala, or Python. A CS degree and 1+ year of experience are expected, with opportunities to impact widely-used products.