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Backend Software Engineer, Ads Data (Data Platform)

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新加坡 · Singapore · 经验要求见详情
R&DRegularA151010新加坡国际招聘TikTok

关于这个机会

Team Introduction Ad Data is the cornerstone of every business decision that millions of advertisers make every day on TikTok. Therefore, we are tasked with innovating on daily basis to create and maintain complex systems at large scale and continue expanding the capacity to better serve advertisers growing at exponential pace. 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: - Plan and push forward large-scale technical projects to lay the foundation for the iterative platform development - Develop core data platform/product features based on open source and in-house technologies to empower TikTok's Ads data - Continuously invest in cutting-edge OLAP technologies and scale our systems as business grows - Iterate our development and operational toolsets to improve R&D productivity, and participate in infrastructure oncall rotations

任职要求

Minimum Qualifications: - Fluency in at least one programming language such as Java/Scala/C/C++/Python - Working experience of distributed storage engines (Elasticsearch/Druid/ClickHouse/Doris) or computational frameworks (Hadoop/Spark/Flink/Hive/Presto) - Able to work closely with diverse stakeholders and have good communication skills • Passionate about building reliable infrastructure Preferred Qualifications - Understanding of ads technology/product is helpful but not required

官方来源与核验

字节跳动官方招聘 · 职位编号 7498606383773878535

最近核验:2026-09-16T12:31:41.068845+00:00

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