Senior Software Engineer, Data Streaming
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy.
TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity;
to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together.
That's how we drive impact - for ourselves, our company, and the communities we serve.Join us. Our ads data platform team work closely with our product managers and data analysts by building state of the art streaming and batch data processing solution.
The entire data pipeline is supporting both the Tiktok ads platform and our internal business intelligence platform. In this role, you will see a direct link between your work, and the company's business success.
You will have opportunities to deal with Petabyte-level data warehouse. Some of the world's most challenging technical and business problems are waiting for you to solve.
Responsibilities : 1. Responsible for the development and optimization of TikTok's commercial real-time data warehouse;2.
Responsible for streaming data modeling, architecture design and development of real-time metric calculation.
- Qualifications : 1. Have a deep understanding of computer principles, have a good data structure and algorithm foundation, and have a certain theoretical knowledge of data warehouses;
- 2. Familiar with the principles of streaming computing, with system characteristics and technical solutions for large-scale streaming data;
- 3. Familiar with the development and use of real-time computing engines such as Kafka / Flink / Hive / HBase / Clickhouse / ES;
- 4. Good at communication, sensitive to business, able to quickly understand business background, and have excellent ability to integrate technology and business;
Preferred Qualifications : 1. Experience in large-scale streaming data computing and data warehouses is preferred;2. Experience with Go language development is preferred.
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