ByteDance

6 days ago

Big Data Engineer Graduate (Recommendation Architecture) - 2026 Start (BS/MS)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 51 minutes agoStatus: Live

Job Summary

Build and optimize the architecture behind large-scale recommendation systems, improving stability, high availability, and performance across online services and offline data flows. Design offline data architecture and flexible, high-performance storage and computing systems, and develop distributed infrastructure for massive data. Use analytics, data mining, data modeling, NLP, and machine learning to extract insights from structured and unstructured datasets, and troubleshoot production stability.

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Architecture & Urban Planning

Seniority: Graduate level

Key Responsibilities

•Design and implement offline data architecture for large-scale recommendation systems.
•Design and implement flexible, scalable, high-performance storage and computing systems.
•Troubleshoot production systems and implement mechanisms/tools to ensure overall operational stability.
•Build distributed storage and computing systems to provide reliable infrastructure for massive data and large-scale business systems.
•Develop analytics applications to transform raw data into meaningful information and apply data mining, data modeling, NLP, and machine learning; visualize and report findings.

Key Requirements

•Completing or recently completed a Bachelor’s or Master’s degree in Software Development, Computer Science, Computer Engineering, or a related technical field.
•Familiar with big data open source frameworks such as Hadoop, Hive, Flink, FlinkSQL, Spark, Kafka, HBase, Redis, RocksDB, and ElasticSearch.
•Familiar with Java, C++, and other programming languages.
•Strong coding and troubleshooting ability.
•Agile, highly self-motivated, with product ownership and a creative problem-solving mindset.

Education:

Skills:AgileSelf learnerSelf-motivatedProduct ownershipTeam player

Tech Stack:HadoopHiveFlinkFlinkSQLSparkKafkaHBaseRedisRocksDBElasticSearchJavaC++Natural language processingMachine learningData miningData modelingData visualization

Company Brief

ByteDance

Develops consumer internet and content platforms, including TikTok and other apps for short-form video, news, and entertainment. It also builds advertising, commerce, and creator tools that connect audiences, brands, and publishers across global markets.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn

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ByteDance

6 days ago

Big Data Engineer Graduate (Recommendation Architecture) - 2026 Start (BS/MS)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 51 minutes agoStatus: Live

Job Summary

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Architecture & Urban Planning

Seniority: Graduate level

Key Responsibilities

•Design and implement offline data architecture for large-scale recommendation systems.
•Design and implement flexible, scalable, high-performance storage and computing systems.
•Troubleshoot production systems and implement mechanisms/tools to ensure overall operational stability.
•Build distributed storage and computing systems to provide reliable infrastructure for massive data and large-scale business systems.
•Develop analytics applications to transform raw data into meaningful information and apply data mining, data modeling, NLP, and machine learning; visualize and report findings.

Key Requirements

•Completing or recently completed a Bachelor’s or Master’s degree in Software Development, Computer Science, Computer Engineering, or a related technical field.
•Familiar with big data open source frameworks such as Hadoop, Hive, Flink, FlinkSQL, Spark, Kafka, HBase, Redis, RocksDB, and ElasticSearch.
•Familiar with Java, C++, and other programming languages.
•Strong coding and troubleshooting ability.
•Agile, highly self-motivated, with product ownership and a creative problem-solving mindset.

Education:

Skills:AgileSelf learnerSelf-motivatedProduct ownershipTeam player

Tech Stack:HadoopHiveFlinkFlinkSQLSparkKafkaHBaseRedisRocksDBElasticSearchJavaC++Natural language processingMachine learningData miningData modelingData visualization

Company Brief

ByteDance

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn