Data Engineer - TikTok, Video-on-Demand

Data Engineer - TikTok, Video-on-Demand at TikTok in Singapore.

Responsibilities

Team Introduction

The Data Warehouse team within Video-on-Demand provides stable, complete, and high-quality data to DA/DS/RD/PM teams in a cost-effective manner. Our work includes building data pipelines, optimizing data workflows, and tackling other big data challenges using leading big-data infrastructure and platforms. The team's main goal is to help internal teams and stakeholders gain deep insights into their core business metrics, including service costs and quality metrics. Working on this team, you'll collaborate with one of the largest network system teams to build advanced data models and solve sophisticated data challenges.

• Design and build resilient and efficient data pipelines for both batch and real-time streaming workloads.
• Develop end-to-end data solutions, from data ingestion and processing to data persistence and service layer development.
• Maintain and improve existing pipelines for better scalability, adaptability, and maintainability.
• Collaborate with data scientists, analysts, product managers, and various engineering teams.
• Engineer scalable solutions for both structured and unstructured data.
• Continuously identify and test internal/external opportunities to optimize product and service performance through data.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
• 4+ years of hands-on experience working primarily with data in roles such as Data Engineer, Data Analyst, or Data Scientist.
• Proficient in SQL, data modeling, ETL pipeline development, and at least one programming language (e.g., Python, Java, Go, or Scala).
• Strong experience with distributed data processing frameworks such as Spark or Flink.
• Familiarity with orchestration frameworks.
• Experience with distributed OLAP datastores such as Druid or ClickHouse.
• Hands-on experience with ELK stack (Elasticsearch, Logstash, Kibana) for log aggregation, analysis.

Preferred Qualifications

• Experience with big data ecosystems such as Hadoop, Hive, Spark, or similar.
• Solid understanding of software engineering best practices in the context of data services and large-scale systems.
• Enjoys solving complex data problems and creating scalable infrastructure to support analytical products.
• Passion for enabling advanced analytics and machine learning through high-quality, well-structured data.

About the Company

The Global Business Solutions (GBS) team is responsible for the revenue growth of the TikTok business, and our teams include Sales, Marketing, Ops, Account Managers, Agency and partnerships, as well as Marketing Science.

At TikTok, our Global Business Solutions (GBS) team plays a key role in generating revenue by promoting our advertising solutions, onboarding new clients, driving ad campaigns, and more. As the TikTok community grows at an unprecedented speed around the world, our GBS team leads groundbreaking projects that are changing the landscape of the advertising industry in real time.

We're seeking an analytically driven, and detail-oriented Client Solutions Manager (CSM) Intern to join our Ecommerce Team. As a CSM, you will partner closely with Client Partners and Client Solutions Managers to drive revenue by identifying opportunities, leveraging data insights, and delivering consultative solutions for advertisers.

This role centers on client education, relationship growth, data analysis, and campaign success. You will provide strategic recommendations to both clients and internal teams, ensuring campaigns achieve business objectives while optimizing long-term partnerships. Success in this role requires strong data analytics skills, adaptability in a fast-paced environment, and a test-and-learn mindset to uncover the best solutions.