PLAUD AI is looking to solve the business problem of boosting productivity and saving time by leveraging AI to record, transcribe, and summarize real-life conversations, allowing users to focus on creative, high-value work while AI handles the details. The company is seeking to extend AI benefits to users globally and is looking for someone to upgrade their data platform.
Requirements
- 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.
- 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.
Responsibilities
- 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.
Other
- Bachelor's or Master’s degree in a technical field (Computer Science, Engineering or a related field.
- Analytical and Problem-Solving Skills: Strong analytical abilities with innovative thinking, capable of independently solving complex technical problems.
- Proven track record of shipping globalized products; comfortable driving alignment across multicultural, cross-functional teams.
- Fluent in English and Mandarin Chinese.
