You are viewing a preview of this job. Log in or register to view more details about this job.

Eagle Program - Big Data Engineer

Trip.com Group
Email

Eagle Program – Big Data Engineer (2026 Graduates)

如何投递？

https://app.mokahr.com/su/odddle

各位同学，通过上方链接即可跳转进入携程校招官网，申请你感兴趣的职位哦！这是我们的专属通道（来自Handshake），记得通过这个链接投递，我们会优先查看你的简历！

职位描述

Responsibilities:

  1. Optimizing the design and implementation of scalable and efficient data architectures, such as streaming data processing, data pipelines, and distributed systems.
  2. Developing a real-time data computing and storage platform, ensuring stability and high availability of OLTP and OLAP data query and analysis services.
  3. Understanding the specific reports, analyses, and insights that need to be derived from data, and creating data-driven solutions to effectively support operational analytics needs.
  4. Monitoring and enhancing the performance of data infrastructure, including query optimization, resource management, and data partitioning strategies.
  5. Collaborating with cross-functional teams, data scientists, and data engineers to gather data requirements and providing comprehensive documentation for data infrastructure solutions and best practices.

Qualifications:

  1. Bachelor's or master's degree in computer science, data engineering, or a related field is required. Candidates with coursework or specialization in database systems, distributed computing, and cloud technologies are preferred.
  2. Proficiency in programming languages such as Java, C++, or Go, as well as hands-on experience with both SQL and NoSQL database systems, is required. Familiarity with distributed computing frameworks, such as Apache Flink, Apache Spark, Apache Hadoop, and Presto, is highly beneficial. Experience working with cloud platforms, such as AWS, Aliyun, or GCP, is also preferred.
  3. Proficiency in using Git version control tools is required.
  4. Candidates should have prior experience in distributed databases, NoSQL, MQ, Cache, and TCP/IP principles. They should also be able to design complex systems for high concurrency and large data volumes.
  5. Candidates should be serious and responsible in their work, possess a good teamwork spirit, and have strong analytical and communication skills.