Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior Data Platform Engineer (AI Enablement): Develop and optimize large-scale distributed data processing systems and data platform infrastructure with an accent on data architecture, real-time and batch processing, and AI enablement. Focus on designing scalable data pipelines, reducing data latency, and leading medium to large-scale projects with mentorship responsibilities.
Location: Singapore or Shanghai, China
Company
Airwallex is a global unified payments and financial platform empowering over 150,000 businesses worldwide with integrated financial solutions.
What you will do
- Lead technical decision-making and custom development of foundational data platform components and service layers.
- Develop and automate high-performance distributed data processing systems (batch and streaming).
- Advocate and implement high-quality software engineering practices for scalable data infrastructure.
- Define shared data engineering tool standards to improve productivity and quality across teams.
- Provide guidance and mentorship to junior data engineers.
Requirements
- Location: Must be based in Singapore or Shanghai, China
- 5+ years of relevant data engineering experience.
- Bachelor’s or Master’s degree in CS/CE/CIS or equivalent experience.
- Proficiency in Kotlin, Java, Scala, Python, SQL and knowledge of Kafka, Spark, Flink, DBT, Spring Boot, Hadoop, BigQuery, Snowflake.
- Experience designing and operating distributed systems and data architectures.
- Strong knowledge of real-time and batch data processing systems and working with PB scale data.
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