Data Warehouse Engineer Intern (Data Platform, TikTok LIVE) - 2027 Start

Beschreibung:

Team Introduction The mission of the Global Live Data BP team is to empower the TikTok Live business through data. Our goal is to build data warehouses that support both batch and streaming data processing, as well as data products that deliver actionable insights through efficient metrics and dashboards. These capabilities enable smarter business decisions and support sustainable business growth. If you are looking for a challenging environment where you can push your limits and make meaningful impact, this is the team for you! We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth. Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals. Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted. Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates. Responsibilities - Participate in building offline and real-time data warehouses for the TikTok Live business. - Work with PB-scale data and support the daily processing of hundreds of billions of user data records. - Support the full big data lifecycle, including data generation, transmission, modeling, statistical analysis, experiment evaluation, and visualization. - Design and build scalable data flows, data warehouses, scheduling systems, query engines, data services, analytics systems, process standards, and data tools/products to lower the barrier to data usage, ensure stable and efficient system operations, and maximize data value

Ihr Profil:

Minimum Qualification(s) - Currently pursuing an Undergraduate Master's in Computer Science, Software Engineering, or a related technical discipline. - Solid technical foundation with strong coding skills in SQL, Python, Scala, Java, or similar languages. Preferred Qualification(s) - Experience with big data tools and frameworks such as Spark, Hadoop, Hive, Flink, Kafka, and HBase. - Strong interest in big data technologies, with a self-motivated and proactive learning mindset