Senior Big Data Engineer for E-commerce Recommendation Infra

Bytedance; Singapore; Hybrid; SGD 150,000 - 190,000; Full time

Job summary

ByteDance Singapore is seeking a Big Data Engineer to join the Ecommerce Recommendation Infrastructure team. You will help design and optimize the data architecture for large-scale recommendations, collaborating with ML engineers and data scientists to build scalable storage and compute systems.

You will apply data mining, ML, and data analytics to transform raw data into actionable insights, with emphasis on stability, performance, and cost efficiency in a fast-growing environment.

Qualifications

• Bachelor's degree or higher in computer science, software engineering or related field.
• Familiar with Hadoop, Hive, Flink, Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch, etc.
• Proficiency in Java, C++ and other programming languages.
• Strong coding and troubleshooting ability.
• Willingness to learn new technologies and tackle hard questions.
• At least 3 years of relevant experience; large-scale data experience preferred.

Responsibilities

• Design and implement offline data architecture for large-scale recommender systems.
• Build flexible, scalable, high-performance storage and computing systems.
• Troubleshoot production systems and ensure overall stability.
• Develop distributed storage/compute infra for massive data and services.
• Develop analytics applications to transform raw data into insights.
• Apply data mining, modeling, NLP, and machine learning to extract value.
• Visualize, interpret data findings and create dynamic reports.

Skills

Open source frameworks

Java

C++

Troubleshooting

Learning new tech

3+ years experience

Education

Bachelor's degree in CS/SE or related

Tools

Hadoop

Hive

Flink

Spark

Kafka

HBase

Redis

RocksDB

ElasticSearch

Job description

ByteDance Singapore is seeking a Big Data Engineer to join the Ecommerce Recommendation Infrastructure team. You will help design and optimize the data architecture for large-scale recommendations, collaborating with ML engineers and data scientists to build scalable storage and compute systems.

You will apply data mining, ML, and data analytics to transform raw data into actionable insights, with emphasis on stability, performance, and cost efficiency in a fast-growing environment.