数仓开发工程师
LingoAceWuhan, Hubei, China
Posted November 11, 2025
Full Time
About the Company
LingoAce is a global edtech company on a mission to make learning for kids more engaging, effective, and accessible through technology. Through our award-winning online learning platform, learners can connect to passionate and professionally accredited teachers to learn Mandarin Chinese, English, math and music. Today, we have a roster of more than 4,000 professionally certified teachers and have taught more than 10 million classes to PreK-12 students in more than 100 countries. Founded in 2017, the company is headquartered in Singapore and has global operations through the United States, Southeast Asia, Europe, and China. We are backed by the world’s top investors including Peak XV (formerly Sequoia India & Southeast Asia), Owl Ventures, Tiger Global, and Shunwei Capital. In 2023, LingoAce was named to Fast Company’s World’s Most Innovative Companies list and to the GSV EdTech 150 list of the world’s most transformative edtech companies for the second year in the row.
Job Description
The big data engineer is responsible for building and maintaining our global online education platform's data infrastructure. You will participate in the entire data pipeline from data collection, storage, processing to analysis and design efficient and reliable data pipelines to support data-driven business decisions.
Requirements
- Bachelor's degree or above in computer science, data science, information technology, or related fields.
- At least 3 years of experience in big data technology development.
- Proficient in at least one programming language (Python, Java, Scala, etc.).
- Familiar with big data technology stacks (Hadoop, Spark, Flink, Kafka, etc.), proficient in MapReduce principles, and have experience in performance optimization and fault diagnosis.
- Excellent communication skills to collaborate effectively with non-technical teams and drive data-driven decisions.
Benefits
- Bonus points for prior experience in the online education or education technology industry.
- Bonus points for prior experience in developing global systems, familiar with multiple languages, time zones, and regions.
- Bonus points for familiar with AWS, Redshift, Airflow, Superset.
- Bonus points for contributions to open-source projects or technical community influence.
- Bonus points for experience in data compliance.
- Bonus points for familiar with machine learning and artificial intelligence technologies, and able to apply AI models to data analysis.