Job Responsibilities:

- Assist in the construction and optimization of the company’s big data warehouse system, including batch and streaming data pipeline development.

- Support the team in understanding business systems and project requirements, and help implement data solutions that align with business goals.

- Participate in data integration and ETL development under the guidance of senior engineers.

- Follow up on the latest big data technologies, and assist in improving the performance and stability of big data platforms.

Job Requirements:

- Currently pursuing or recently graduated with a Bachelor’s or above in Computer Science, Data Engineering, Machine Learning, or a related field.

- Strong interest in data and business insights, with basic data analysis skills.

- Familiar with SQL and at least one programming language such as Python, Java, or Scala; experience with Shell scripting is a plus.

- Understanding of basic ETL concepts and data warehouse design principles.

- Exposure to big data tools like Hadoop, Hive, Spark, Kafka, Flink, or any similar frameworks is a bonus.

- Curious, proactive, and eager to grow in the big data field.