Data Engineer Graduate Corporate Service System - 2026 Start BS MS

ByteDance

Responsibilities

About the Team

The Corporate Services System team in Dubai is dedicated to supporting the company s business growth by delivering exceptional management and employee experiences systems. Our solutions enhance operational efficiency while making work more engaging and meaningful empowering the company to thrive and enabling you to focus, grow, and succeed.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at ByteDance.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities:

• Design and build data transformations efficiently and reliably for different 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 practice for engineers as well as non-technical people.
  
  
  

Qualifications

Minimum Qualifications:

• Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline;
• Experience in Big Data technologies(Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc.);
• Experience with 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;
• Passionate and self-motivated about technologies in the Big Data area.
  
  
  

Preferred Qualifications:

• Experience with cloud-based data platforms , including expertise in cloud-native tools for scalable data infrastructure.
  
  
  

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