The CRM Data Application team as a global engineering team sits at the core of TikTok’s monetization ecosystem, building data-intensive applications that drive business growth. By integrating large-scale data warehousing, real-time processing, distributed data services, and native AI solutions, the team delivers critical infrastructure and intelligence that empower advertisers and sales teams. Responsibilities: - Collaborate with engineers, product managers, and data analysts to understand real-world data needs and design data-first products. - Develop and optimize real-time and batch data processing pipelines, large-scale distributed services, and AI-driven solutions that ensure data consistency, scalability, and maintainability. - Work closely with cross-functional teams to enhance TikTok’s data foundation and contribute to architectural evolution in a rapidly growing environment. - Participate in debugging and optimizing data infrastructure, working with platform teams to resolve performance and reliability challenges. - Contribute to system design discussions, improve engineering best practices, and continuously enhance development efficiency.
Minimum Qualifications: - Bachelor’s or higher degree in Computer Science, Software Engineering, or a related field. - Strong computer science fundamentals in data structures, algorithms, and distributed systems. - Experience with big data technologies such as Flink, Spark, Kafka, Hive, ClickHouse, Doris, or similar frameworks. - Familiarity with real-time streaming data processing, SQL, and data warehouse design principles. - Knowledge of distributed backend development and experience building large-scale, high-performance systems. Preferred Qualifications: - Proficiency in at least one programming language, such as Java, Scala, or Go. - Passion for solving large-scale data challenges and building high-performance, scalable systems. - Strong problem-solving skills and the ability to think critically about business and engineering trade-offs.
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