Deadline:
As soon as possible
Location(s)
United Arab Emirates
Dubai
Overview
Details
As a data engineer in the CSS data team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. You'll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem.If you're looking for a challenging ground to push your limits, this is the team for you!
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 as early as possible.
Online Assessment
Candidates who pass resume screening will be invited to participate in ByteDance 's technical online assessment.
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.
Opportunity is About
Eligibility
Candidates should be from:
Description of Ideal Candidate
Qualifications
Minimum Qualification(s):
- Completing or have recently completed a Bachelor’s degree in in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
- Proficient in Java/Python, and have solid programming skills(e.g. algorithms and data structures).
- Familiar with Big Data technologies (Hadoop, M/R, Hive, Spark, Flink etc.).
- Good communication and teamwork skills to clearly communicate technical concepts with other teammates.
Preferred Qualifications:
- 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.
Dates
Deadline: As soon as possible
Cost/funding for participants
Un-save Opportunity
Internships, scholarships, student conferences and competitions.
