Salary
≈ $180k – $383k per year (Estimated)
Location
In office (San Jose)
Employment
Full-Time
First seen by Alion on Jun 5, 2020. TikTok scores B on the Alion truth index.
Overview
Company
Impact
Profile match
TikTok is a short-form video platform owned by the Chinese technology group ByteDance and launched internationally in 2016, growing further after the 2018 merger with the lip-sync app Musical.ly. Its recommendation feed surfaces content by engagement signals rather than social graph, which lets new creators reach large audiences quickly and made the app one of the most downloaded in the world. The company runs dual operating hubs in Singapore and Los Angeles and has built an advertising business, a live streaming economy and the TikTok Shop commerce marketplace on top of the video feed.
岗位职责 / Responsibilities
As a data engineer in the data platform team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. You'll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem. Your work will have a direct and huge impact on the company's core products as well as hundreds of millions of users.
Responsibilities - What You'll Do
- Design and build data transformations efficiently and reliably for different purposes (e.g. reporting, growth analysis, multi-dimensional analysis);
- Design and implement reliable, scalable, robust and extensible big data systems that support core products and business;
- Establish solid design and best engineering practice for engineers as well as non-technical people.
任职要求 / Requirements
Minimum Qualifications:
- BS or MS degree in Computer Science or related technical field or equivalent practical experience;
- Experience in the Big Data technologies(Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc.);
- Experience with performing data analysis, data ingestion and data integration;
- Experience with ETL(Extraction, Transformation & Loading) and architecting data systems;
- Experience with schema design, data modeling and SQL queries;
- Passionate and self-motivated about technologies in the Big Data area.
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