
E-Commerce Data Architect
6 days ago
As a key member of our E-commerce Recommendation Infra team, you will be responsible for designing and implementing robust offline data architectures that support large-scale recommendation systems.
You will work closely with applied machine learning engineers to build scalable systems that integrate innovative algorithms and techniques. Your primary focus will be on ensuring the stability and high availability of production systems while reducing cost overhead and improving data flow performance.
The ideal candidate will have a strong background in computer science or a related field, with expertise in big data technologies such as Hadoop, Hive, Flink, Spark, and Kafka. Proficiency in Java, C++, and other programming languages is also essential.
Required skills and qualifications:
- Bachelor's degree or above in computer science, software engineering, or a related field
- Expertise in big data technologies such as Hadoop, Hive, Flink, Spark, and Kafka
- Proficiency in Java, C++, and other programming languages
- Strong coding and troubleshooting ability
- Experience with Peta Byte level data processing is a plus
Benefits
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy.
We celebrate our diverse voices and create an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
Others
Join us in shaping the future of e-commerce and recommendation systems. Apply today and take the first step towards an exciting career with us.
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