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

TikTok Inc.; San Jose (CA); Presencial; USD 218.000 - 480.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical Insurance

Dental Insurance

Vision Insurance

401(k) with company match

Parental Leave

Disability Insurance

Wellbeing Benefits

Paid Holidays

Paid Sick Days

Paid Personal Time

Descripción de la vacante

TikTok Inc. is seeking a data storage and distributed systems engineer to design offline and real-time architectures for large-scale recommendation, search, and advertising platforms.

You will work on Paimon and Flink-based storage foundations powering streaming and batch pipelines for over a billion users. Join a team focused on reliability, scalability, and cost-effective data management, building robust infrastructure to adapt to diverse data sources and evolving business needs while

Formación

• A bachelor's degree or above in computer science, software engineering, or related fields, with experience in building scalable systems.
• Thorough understanding of Paimon and Flink, and be able to understand and use them at the source-code level.
• In-depth understanding of at least one data lake technology (such as Paimon), with practical implementation and customization experience, which should be highlighted in the resume.
• Proficiency in programming languages such as Java, C++, and Scala, with strong coding and problem-solving abilities.
• Experience in data warehouse modeling and be able to design efficient data models that meet complex business scenarios.
• Experience in using other big-data systems/frameworks (such as Hive, HBase, Kudu, etc.) and handling large-scale data (PB - level and above).
• Familiar with the principles of HDFS, and knowledge of columnar storage formats such as Parquet and ORC is preferred.

Responsabilidades

• Architecture Design and Implementation: Design and implement offline and real-time data architectures for large-scale recommendation, search, and advertising systems based on Paimon and Flink.
• System Construction and Optimization: Design and implement flexible, scalable, stable, and high-performance storage systems and computing models.
• Troubleshooting and Stability Assurance: Be responsible for troubleshooting production systems and ensuring overall stability of the production environment.
• Distributed System Construction: Build industry-leading distributed systems with offline/online storage on Paimon and batch/stream processing with Flink.

Conocimientos

Java

C++

Scala

Educación

Bachelor's degree in computer science / software engineering or related field

Herramientas

Paimon

Flink

Descripción del empleo

Responsibilities

Team Introduction
Our team plays a crucial role in the data ecosystem of the TikTok Recommendation System, focusing on creating offline and real-time data storage solutions for large-scale recommendation, search, and advertising businesses, serving over 1 billion users. The core goals of the team are to ensure high system reliability, uninterrupted service, and smooth data processing. We are committed to building a storage and computing infrastructure that can adapt to various data sources and meet diverse storage requirements, ultimately providing efficient, cost-effective, and user-friendly data storage and management tools for the business.

Responsibilities
1. Architecture Design and Implementation: Design and implement offline and real-time data architectures for large-scale recommendation, search, and advertising systems based on Paimon and Flink. Ensure efficient data processing and storage to meet the strict requirements of the business for data timeliness and accuracy.

2. System Construction and Optimization: Design and implement flexible, scalable, stable, and high-performance storage systems and computing models. Use Paimon as the storage foundation and combine it with the powerful computing capabilities of Flink. Continuously optimize system performance to cope with the challenges brought by business growth.

3. Troubleshooting and Stability Assurance: Be responsible for troubleshooting production systems. For problems that occur in the Paimon-Flink architecture during operation, design and implement necessary mechanisms and tools, such as data consistency assurance and exception recovery, to ensure the overall stability of the production system.

4. Distributed System Construction: Build industry-leading distributed systems, including offline and online storage based on Paimon and batch and stream processing frameworks based on Flink, providing solid and reliable infrastructure support for massive data and large-scale business systems.

Qualifications

Minimum Qualifications:
- A bachelor's degree or above in computer science, software engineering, or related fields, with experience in building scalable systems.
- Thorough understanding of Paimon and Flink, and be able to understand and use them at the source-code level.
- In-depth understanding of at least one data lake technology (such as Paimon), with practical implementation and customization experience, which should be highlighted in the resume.
- Proficiency in programming languages such as Java, C++, and Scala, with strong coding and problem-solving abilities.
- Experience in data warehouse modeling and be able to design efficient data models that meet complex business scenarios.

Preferred Qualifications:
- Experience in using other big-data systems/frameworks (such as Hive, HBase, Kudu, etc.) and handling large-scale data (PB - level and above) is preferred.
- Have the courage to take on complex problems and be willing to explore problems without clear solutions.
- Passions in learning new technologies and be able to quickly master and apply them to practical work.
- Familiar with the principles of HDFS, and knowledge of columnar storage formats such as Parquet and ORC is preferred.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $218400 - $480000 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.

Responsibilities

Responsibilities

Team Introduction
Our team plays a crucial role in the data ecosystem of the TikTok Recommendation System, focusing on creating offline and real-time data storage solutions for large-scale recommendation, search, and advertising businesses, serving over 1 billion users. The core goals of the team are to ensure high system reliability, uninterrupted service, and smooth data processing. We are committed to building a storage and computing infrastructure that can adapt to various data sources and meet diverse storage requirements, ultimately providing efficient, cost-effective, and user-friendly data storage and management tools for the business.

Responsibilities
1. Architecture Design and Implementation: Design and implement offline and real-time data architectures for large-scale recommendation, search, and advertising systems based on Paimon and Flink. Ensure efficient data processing and storage to meet the strict requirements of the business for data timeliness and accuracy.

2. System Construction and Optimization: Design and implement flexible, scalable, stable, and high-performance storage systems and computing models. Use Paimon as the storage foundation and combine it with the powerful computing capabilities of Flink. Continuously optimize system performance to cope with the challenges brought by business growth.

3. Troubleshooting and Stability Assurance: Be responsible for troubleshooting production systems. For problems that occur in the Paimon-Flink architecture during operation, design and implement necessary mechanisms and tools, such as data consistency assurance and exception recovery, to ensure the overall stability of the production system.

4. Distributed System Construction: Build industry-leading distributed systems, including offline and online storage based on Paimon and batch and stream processing frameworks based on Flink, providing solid and reliable infrastructure support for massive data and large-scale business systems.

Qualifications

Qualifications

Minimum Qualifications:
- A bachelor's degree or above in computer science, software engineering, or related fields, with experience in building scalable systems.
- Thorough understanding of Paimon and Flink, and be able to understand and use them at the source-code level.
- In-depth understanding of at least one data lake technology (such as Paimon), with practical implementation and customization experience, which should be highlighted in the resume.
- Proficiency in programming languages such as Java, C++, and Scala, with strong coding and problem-solving abilities.
- Experience in data warehouse modeling and be able to design efficient data models that meet complex business scenarios.

Preferred Qualifications:
- Experience in using other big-data systems/frameworks (such as Hive, HBase, Kudu, etc.) and handling large-scale data (PB - level and above) is preferred.
- Have the courage to take on complex problems and be willing to explore problems without clear solutions.
- Passions in learning new technologies and be able to quickly master and apply them to practical work.
- Familiar with the principles of HDFS, and knowledge of columnar storage formats such as Parquet and ORC is preferred.