About the role
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.
Text as published by Fuku. We don't edit postings; apply and ask questions on the employer's site.