Data Warehouse Engineer Intern: Build Real-Time Data Pipelines

TikTok; Singapore; On-site; SGD 13,000 - 20,000; Full time

Job summary

TikTok is seeking an internship in the PGC Data BP team in Singapore to help build data warehouses and data products that deliver actionable insights. You will gain hands-on experience with real-world data challenges, including batch and streaming processing, and collaboration with industry professionals.

Ideal candidates are pursuing undergrad or master’s in CS or software engineering with strong coding skills and an interest in big data technologies.

Qualifications

• Currently pursuing an Undergraduate or 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.

Responsibilities

• Participate in building offline and real-time data warehouses for the TikTok PGC 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, modelling, 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.

Skills

SQL

Python

Scala

Java

Education

Undergraduate or Master’s in Computer Science or Software Engineering

Tools

Spark

Hadoop

Hive

Flink

Kafka

HBase

Job description

TikTok is seeking an internship in the PGC Data BP team in Singapore to help build data warehouses and data products that deliver actionable insights. You will gain hands-on experience with real-world data challenges, including batch and streaming processing, and collaboration with industry professionals.

Ideal candidates are pursuing undergrad or master’s in CS or software engineering with strong coding skills and an interest in big data technologies.