Senior Data Engineer

ABOUT 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.