About the Job
Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of products including TikTok and Helo, ByteDance aims to help imaginations thrive. The Graduate program offers students industry exposure and hands-on experience, allowing your ambitions to become reality.
Ready to apply for roles like this?
Unlock the company name and direct application link. Subscribers get instant access to fresh jobs across Dubai, Abu Dhabi and Riyadh, many with visa support.
Unlock employer & apply directly
About the Team
The mission of the Data Platform Workplace Service System team is to empower the Workplace Service System Business with data. We support our businesses by building high-quality real-time and offline data warehouses, creating data-friendly assets, and exploring business-oriented data solutions. As a data engineer in this team, you will have the opportunity to build, optimize, and grow one of the largest data platforms in the world, gaining hands-on experience with various systems in the data platform ecosystem.
Responsibilities
- Design and build data transformations efficiently and reliably for various purposes (e.g. reporting, growth analysis, multi-dimensional analysis)
- Design and implement reliable, scalable, robust, and extensible big data systems that support core products and business
- Establish solid design and best engineering practices for both engineers and non-technical personnel
Qualifications
Minimum Qualifications
- BS or MS degree in Computer Science or related technical field or equivalent practical experience
- Proficient in Java/Python, with solid programming skills (e.g. algorithms and data structures)
- Must be available to start in Dubai in January, May, or September 2025
- Familiar with Big Data technologies (Hadoop, M/R, Hive, Spark, Flink etc.)
- Good communication and teamwork skills to clearly convey technical concepts to teammates
Preferred Qualifications
- Experience performing data analysis, data ingestion, and data integration
- Experience with ETL (Extraction, Transformation & Loading) and architecting data systems
- Experience with schema design, data modeling, and SQL queries
