Tech Stack

Description

As a Data Engineer at Payoneer, you will build and maintain batch and streaming data pipelines in a payments and fintech environment. You will optimize distributed data processing frameworks, develop curated datasets for analytics, and implement reliable workflow orchestration. This role values an AI-first mindset for accelerating development and improving data quality.

Requirements

• Solid data engineering fundamentals
• Experience with distributed data processing frameworks
• AI-enabled development practices

Responsibilities

• Build, maintain, and optimize batch and streaming data pipelines using Apache Beam, Spark, or Flink
• Develop curated datasets and dimensional models for analytics in cloud data warehouses
• Implement workflow orchestration with emphasis on reliability and failure handling