Expert Algorithm Data Engineer - Marketplace Intelligence & Data

As an Algorithm Data Engineer, you will be responsible for transforming data into algorithmic productivity across the following key areas:

1. Unified Feature Platform Development

Lead or participate in the design, development, and maintenance of enterprise-level feature platforms/feature stores. Tackle challenges such as online/offline feature consistency, real-time processing, and high availability. Ensure standardization and automation of the feature engineering workflow to improve feature development efficiency for algorithm teams.

2. High-Quality Dataset Construction & Maintenance

Design and build high-performance, low-latency offline and real-time datasets for model training, evaluation, and inference. Optimize data pipelines and ETL processes to significantly enhance large-scale data processing efficiency and data quality.

3. Algorithm Experimentation & Monitoring Pipeline

Contribute to the development and maintenance of core data pipelines for algorithm experimentation. Provide end-to-end support-from data preparation, configuration, and runtime monitoring to metrics analysis and result evaluation.

4. High-Value Label & Graph Mining

Leverage deep understanding of e-commerce and algorithmic needs to extract high-value user profiles, product tags, and relationship graphs from massive behavioral data, effectively enabling both algorithms and business strategies.

5. Architecture Optimization & Technology Exploration

Continuously improve the data architecture, including real-time processing, unified batch-stream systems, multimodal data processing, and compute resource optimization. Maintain a cutting-edge and robust technology stack.

• Bachelor's degree or above in Computer Science or a related field, with 5+ years of experience in big data.
• Hands-on experience with one or more big data technologies such as Spark, Flink, Hadoop, HBase, Kafka, Druid, ClickHouse, etc.
• Proficient in one or more programming languages, such as Python, Java, Scala, or SQL.
• Experience in data architecture design, data warehouse modeling, or performance tuning is preferred.
• Prior experience with feature platforms/feature stores, algorithm experimentation pipelines, or graph construction is a plus.
• Strong logical thinking, communication skills, and project coordination abilities
• Strong self-motivation and resilience, with a willingness to experiment and drive business impact.