Big Data Development Intern

Responsibilities Participate in big data ingestion, data processing, and statistical analysis for the data team. Clean, process, and analyze massive datasets in real-time and offline scenarios. Maintain system stability for large-scale data processing tasks. Support high-concurrency and distributed data processing. Use AI tools to improve data ingestion, data analysis, and development efficiency. Requirements Must be based in Guangzhou or Shenzhen, or able to work onsite in Guangzhou / Shenzhen according to team requirements. Current student or fresh graduate, preferably majoring in Computer Science or related fields. Strong interest in Java programming and backend / data engineering. Willing to use AI tools to improve productivity. Strong sense of responsibility and self-motivation. Interested in large-scale data systems and real-time computing. Nice to Have Personal technical blog, GitHub projects, or competition experience related to data processing or analysis. Familiarity with the Hadoop ecosystem, including HDFS and Hive. Practical experience with Spark, Flink, Kafka, or other big data frameworks. Experience with Java, Golang, Flink, Kafka, HBase, ETL, data warehouse, or real-time computing.