9 hours ago

Senior/Staff Big Data Storage and Computing Engineer, Recommendation Data Ecosystem

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Build offline and real-time data storage and computing infrastructure for large-scale recommendation, search, and advertising systems. Design and implement Paimon- and Flink-based data architectures, optimize high-performance storage and processing models, and ensure production stability through troubleshooting, data consistency, and exception recovery. Contribute to distributed system development supporting massive data and scalable batch/stream pipelines for a service used by over 1 billion users.

Location: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Design and implement offline and real-time data architectures for large-scale recommendation, search, and advertising systems using Paimon and Flink.
•Build and optimize scalable, high-performance storage systems and computing models; continuously improve performance as business grows.
•Troubleshoot production systems and implement mechanisms/tools for data consistency assurance and exception recovery in the Paimon-Flink architecture.
•Construct distributed systems, including offline/online storage and batch/stream processing frameworks based on Paimon and Flink.
•Ensure efficient data processing to meet requirements for data timeliness and accuracy.

Key Requirements

•Bachelor’s degree or above in computer science, software engineering, or related fields, with experience building scalable systems.
•Thorough understanding of Paimon and Flink, able to use them at the source-code level.
•In-depth understanding of a data lake technology (e.g., Paimon) with practical implementation and customization experience.
•Proficiency in Java, C++, and Scala with strong coding and problem-solving skills.
•Experience with data warehouse modeling and designing efficient data models for complex business scenarios.

Experience:Big dataData lakesDistributed systemsStream processingData warehouse

Education:Bachelor's

Skills:Problem-solvingTroubleshootingSystem reliability focusPerformance optimizationLearning agility

Tech Stack:PaimonFlinkJavaC++ScalaHiveHBaseKuduHDFSParquetORC

Company Brief

TikTok

Short-form video platform that lets users create, share, and discover entertainment content through algorithmic recommendations. It also offers advertising and creator tools for brands, influencers, and businesses.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn

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TikTok

9 hours ago

Senior/Staff Big Data Storage and Computing Engineer, Recommendation Data Ecosystem

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Location: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Design and implement offline and real-time data architectures for large-scale recommendation, search, and advertising systems using Paimon and Flink.
•Build and optimize scalable, high-performance storage systems and computing models; continuously improve performance as business grows.
•Troubleshoot production systems and implement mechanisms/tools for data consistency assurance and exception recovery in the Paimon-Flink architecture.
•Construct distributed systems, including offline/online storage and batch/stream processing frameworks based on Paimon and Flink.
•Ensure efficient data processing to meet requirements for data timeliness and accuracy.

Key Requirements

•Bachelor’s degree or above in computer science, software engineering, or related fields, with experience building scalable systems.
•Thorough understanding of Paimon and Flink, able to use them at the source-code level.
•In-depth understanding of a data lake technology (e.g., Paimon) with practical implementation and customization experience.
•Proficiency in Java, C++, and Scala with strong coding and problem-solving skills.
•Experience with data warehouse modeling and designing efficient data models for complex business scenarios.

Experience:Big dataData lakesDistributed systemsStream processingData warehouse

Education:Bachelor's

Skills:Problem-solvingTroubleshootingSystem reliability focusPerformance optimizationLearning agility

Tech Stack:PaimonFlinkJavaC++ScalaHiveHBaseKuduHDFSParquetORC

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn