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
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