Senior Data Engineer Finance Technology

Bachelor’s degree or above in Computer Science, Data Science, Mathematics, or a related field, with 5+ years of hands-on data development experience. Proficient in Hadoop, Spark, Flink, Airflow, and other mainstream data platform technologies; strong understanding of their underlying principles and proven experience in performance optimization. Solid knowledge of distributed systems, computation, and storage architectures. Excellent communication skills, strong logical thinking, self-motivation, and a commitment to continuous learning and knowledge updating. Experience/knowledge in the accounting domain is a plus.

Design and build a universal data platform capable of supporting both real-time and batch computing and storage needs. Define and implement data pipeline architectures tailored to specific business scenarios, leveraging diverse infrastructures and delivery methods. Continuously enhance the data platform to improve data asset stability, flexibility, and resource efficiency.