Data Warehouse Intern

# Data Warehouse Intern > Fuku · Singapore, Singapore · Full-time · Posted 2026-11-02 **Workplace:** on_site ## Description About the Role We are looking for a motivated Data Warehouse Intern to join our team. You will have the opportunity to participate in the design, development, and maintenance of real-time data warehouse systems, work with big data technologies such as Flink, Spark Streaming, and Kafka, and gain hands-on experience in real-time data processing, data modeling, and data pipeline optimization. Key Responsibilities \- Participate in the design, development, and maintenance of real-time data warehouse systems. \- Develop real-time data processing jobs using Flink / Spark Streaming. \- Assist in designing real-time data models and building layered data warehouse architectures, including ODS, DWD, and DWS. \- Integrate real-time data sources such as Kafka and MySQL Binlog. \- Assist in optimizing real-time processing performance to ensure data timeliness, accuracy, and reliability. \- Prepare technical documentation and support data quality monitoring. Requirements 1\. Required Qualifications \- Currently pursuing a Bachelor's degree or above in Computer Science, Software Engineering, Data Science, or a related field. \- Proficient in SQL, with hands-on experience in data processing. \- Familiar with fundamental data warehouse concepts, including dimensional modeling and layered architecture. \- Proficient in at least one programming language: Java, Python, or Scala. \- Available for at least 4 days per week, with a minimum internship commitment of 3 months. 2\. Preferred Qualifications \- Hands-on experience with Flink or Spark Streaming. \- Familiarity with big data technologies such as Kafka, Doris, ClickHouse, Hudi, or Iceberg. \- Understanding of MySQL Binlog and Change Data Capture (CDC) data synchronization. \- Previous internship or project experience in data warehousing or big data engineering. ## Apply [Apply at Fuku](https://apply.workable.com/fuku/j/B11778DF6F/apply) --- Powered by [Workable](https://www.workable.com)