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Graduate Data Engineer

Unlock employer Dubai, United Arab Emirates Posted: 30 Oct 2024

Financial

  • Estimate: $60k - $100k*
  • Zero income tax location

Accessibility

  • Visa Provided

Requirements

  • Experience: Entry Level

Position

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.

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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
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