Data Engineer (Python & PySpark)

We are seeking a skilled Data Engineer with strong experience in building scalable data pipelines and a solid understanding of KYC/AML workflows.

Requirements

• Design, develop, and maintain scalable ETL/ELT data pipelines for large datasets
• Support KYC/AML processes, including client onboarding and lifecycle management
• Build and optimize data solutions using Python and/or Scala
• Develop data processing workflows using Big Data technologies (Spark, PySpark, Kafka, Hadoop, Flink)
• Ensure data quality, integrity, and compliance with regulatory requirements
• Collaborate with cross-functional teams to deliver reliable data solutions
• Monitor and troubleshoot data pipelines for performance and scalability

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan

Tagged as: Python