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Senior Data Platform Engineer (Fintech)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Singapore
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Data Platform Engineer (Fintech): Building and optimizing high-scale data infrastructure for a global payments platform with an accent on pipeline efficiency and data latency reduction. Focus on designing scalable batch and stream processing systems and establishing overarching data architecture for PB-scale data.

Location: Based in Singapore

Company

hirify.global is a unified payments and financial platform for global businesses, providing integrated solutions for business accounts, payments, and treasury management.

What you will do

  • Lead system design and drive impactful projects for the Growth Team's data platform.
  • Design, build, and maintain scalable batch and stream data pipelines for analytics and operational use cases.
  • Develop data ingestion frameworks using Kafka, Flink, or Spark.
  • Optimize scheduling and pipeline efficiency to reduce data latency.
  • Collaborate with product and BI teams to translate business requirements into engineering solutions.
  • Contribute to automation and reliability improvements for platform scalability.

Requirements

  • Around 5+ years of relevant experience as a data engineer.
  • Degree in CS, CE, CIS or equivalent experience.
  • Proficiency in Kotlin, Java, Scala, Python, and SQL.
  • Strong working knowledge of Real-time and Batch processing systems.
  • Experience working with data at PB scale.
  • Must be based in Singapore

Nice to have

  • Knowledge of Kafka, Data Lake, Spark, Flink, DBT, Spring Boot, Hadoop, BigQuery, and Snowflake.

Culture & Benefits

  • Fast-paced environment valuing founder-like energy and true ownership.
  • Opportunity to work with a high-valuation global company backed by world-leading investors.
  • Collaborative culture that encourages using AI to solve problems faster.
  • Focus on accelerated learning and real impact.

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