Senior Data Engineer
PLAUD aiABOUT PLAUD AI
PLAUD AI is a pioneering AI-native hardware and software company that turns meetings and conversations into actionable insights with AI devices like PLAUD NOTE and PLAUD NotePin. By recording, transcribing, and summarizing real-life conversations, our solutions boost productivity and save time. Designed for precision and flexibility, whether in meetings or on the go, our products empower you to focus on creative, high-value work while AI handles the details.
We are a growing global team of hardware and software experts seeking advanced AI innovations that integrate with real-life user scenarios. Our newly established headquarters in San Francisco will collaborate with our teams in Shenzhen, Beijing, and Tokyo to extend AI benefits to users globally.
Visit https://www.plaud.ai to learn more.
WHAT YOU WILL DO
Responsible for designing and developing data warehouse systems, including data model design, ETL process development, data quality assurance, etc.;
Collaborate with business teams and data analysts to understand business requirements and provide data warehouse solutions;
Continuously optimize data processing performance, improve platform stability and processing efficiency;
Participate in research on new technology trends and drive the next-generation upgrade of the data platform.
WHAT YOU WILL BRING
Bachelor's or Master’s degree in a technical field (Computer Science, Engineering or a related field.
6 years of experience in big data development, including real-time and offline data processing, modeling, ETL development, and data analysis.
Proficient in SQL programming, familiar with at least one object-oriented programming language, such as Python, Java, or Scala.
Analytical and Problem-Solving Skills: Strong analytical abilities with innovative thinking, capable of independently solving complex technical problems.
Preferred Qualifications
8+ years of experience in big data development, including real-time and offline data processing, modeling, ETL development, and data analysis.
Experience data modeling capabilities in the business domain and is familiar with AI application products.
Proficient in multiple OLAP storage, such as Hive, Spark, SnowFlake, Databrick, Doris, Clickhouse, etc.
Proven track record of shipping globalized products; comfortable driving alignment across multicultural, cross-functional teams.
Fluent in English and Mandarin Chinese.