Data Engineer, Live Arch-Platform - Live Event
San Jose, California, United States
Team Introduction
TikTok RTC is a world-leading Real-Time Communication service that provides instant and quality multimedia interaction among our customers across the globe. We are building the next generation audio/video processing and compression platform, along with the fastest delivery networks and the richest cloud services.
Working in this team, you will have the opportunity to tackle the challenges of advanced audio/video algorithm design and global large-scale network deliveries while leveraging your expertise in coding, algorithms, data analysis, and large-scale system design.
- Maintenance and ownership of LiveArch streaming and batch data pipeline and warehouse
- Work closely with data scientists and engineers to develop high efficiency ETL for downstream metric monitoring and platform related work
- Analyze and improve the data quality, such as data optimization, service stability and high availability, etc
- Work with teams to manage and improve the performance of Doris, Clickhouse, ES, Kafka, Flink, Hive and other Big Data jobs
- Analyze the data and generate reports to stakeholder and help team to improve the product performance
- Follow the best practice to design and manage data warehouse
TikTok RTC is a world-leading Real-Time Communication service that provides instant and quality multimedia interaction among our customers across the globe. We are building the next generation audio/video processing and compression platform, along with the fastest delivery networks and the richest cloud services.
Working in this team, you will have the opportunity to tackle the challenges of advanced audio/video algorithm design and global large-scale network deliveries while leveraging your expertise in coding, algorithms, data analysis, and large-scale system design.
- Maintenance and ownership of LiveArch streaming and batch data pipeline and warehouse
- Work closely with data scientists and engineers to develop high efficiency ETL for downstream metric monitoring and platform related work
- Analyze and improve the data quality, such as data optimization, service stability and high availability, etc
- Work with teams to manage and improve the performance of Doris, Clickhouse, ES, Kafka, Flink, Hive and other Big Data jobs
- Analyze the data and generate reports to stakeholder and help team to improve the product performance
- Follow the best practice to design and manage data warehouse
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Engineering Jobs
Tags: Big Data Data analysis Data quality Data warehouse ETL Flink Kafka Streaming
Region:
North America
Country:
United States
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