
Data Engineer
2 weeks ago
Video Infrastructure is a world-leading video platform that provides multi-media storage, delivery, transcoding, and streaming services. We are building the next generation video processing platform and the largest live streaming network, which provides excellent experiences for billions of users around the world. Popular video products of TikTok and its affiliates are all empowered by our cutting-edge cloud technologies. Working in this team, you will have the opportunity to tackle challenges of large-scale networks all over the world, while leveraging your expertise in coding, algorithms, complexity analysis, and large-scale system design.
**Responsibilities**
1. Craft optimal data processing architecture and systems for new data and ETL pipelines.
2. Design, build, and maintain efficient and reliable data pipelines to move and transform data (both large and small amounts).
3. Drive internal process improvements and automate manual processes for data quality and SLA management.
4. Work with different cross-functional partners including CDN, Video Understanding, Video Transcoding, Live Streaming, and Real-Time Communication.
**Qualifications**
1. Bachelor's degree in Computer Science or a related technical background involving software/system engineering, or equivalent working experience.
2. Good programming experience with at least one of the following languages: C, C++, Java, Python, or Go.
3. Experience in custom ETL/data pipeline design, implementation, and maintenance.
4. Experience with data processing software (Hadoop, Spark, Pig, Hive) and algorithms (MapReduce, Flume).
5. Experience in troubleshooting in large scale distributed systems.
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