Big Data Architectural Designer for Scalable Systems
5 days ago
The Recommendation Architecture Team is responsible for designing and optimizing the architecture of the recommendation system to provide a stable and engaging experience for users.
- Design and implement offline data architectures for large-scale recommendation systems.
- Design and implement flexible, scalable, and high-performance storage and computing systems.
- Troubleshoot production systems and design mechanisms to ensure stability.
In this role, you will work collaboratively with the algorithm team to enhance recommendation effectiveness and user experience while boosting system performance and reducing costs.
Required Skills and Qualifications- Familiarity with big data frameworks such as Hadoop, Hive, Flink, Spark, Kafka, HBase, Redis, RocksDB, and ElasticSearch.
- Strong coding and troubleshooting abilities in languages like Java, C++, and others.
- Final-year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, Electrical Engineering, or related technical disciplines.
As a member of our team, you will have opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. We strive to do great things with great people, leading with curiosity, humility, and a desire to make impact in a rapidly growing tech company.
OthersAt our organization, we value diversity and inclusion, creating an environment that reflects the many communities we reach. If you are passionate about innovation, creativity, and self-expression, we encourage you to apply.
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