Streaming Data Engineer, Large-Scale Systems

3 weeks ago


San Jose, California, United States Tik Tok Full time
About the Role
Streaming Data Engineer, Large-Scale Systems is a critical position in our ad data platform team. You will work closely with product managers and data analysts to build state-of-the-art streaming and batch data processing solutions. The entire data pipeline supports both the TikTok ads platform and our internal business intelligence platform.

You will have opportunities to deal with Petabyte-level data warehouses and solve some of the world's most challenging technical and business problems. If you have a good understanding of computer principles, a strong data structure and algorithm foundation, and familiarity with streaming computing and real-time computing engines, this could be the perfect opportunity for you.

Key Responsibilities:
- Develop and optimize TikTok's commercial real-time data warehouse;
- Design and develop streaming data modeling, architecture, and real-time metric calculation;

Requirements:
- Good understanding of computer principles, data structure and algorithm foundation, and theoretical knowledge of data warehouses;
- Familiarity with streaming computing, system characteristics, and technical solutions for large-scale streaming data;
- Familiarity with real-time computing engines such as Kafka/Flink/Hive/HBase/Clickhouse/ES;
- Excellent communication and business sensitivity, able to quickly understand business background;

The estimated salary for this position is $150,000 - $220,000 per year, depending on location and experience. TikTok is passionate about creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives.

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