Role Overview
We are seeking a highly skilledBig Data Engineer – AMLto design, build, and optimize scalable data solutions that support Anti-Money Laundering (AML) and financial crime detection initiatives. This role is critical in enabling data-driven insights for transaction monitoring, risk assessment, and regulatory compliance within a banking environment.
You will work closely with data analysts, data scientists, and compliance teams to deliver high-quality, reliable, and secure data pipelines using modern lakehouse architectures.
Key Responsibilities
- Design, develop, and maintainscalable data pipelinesfor AML and financial data processing
- Build and optimize data solutions usinglakehouse architectures(e.g., Delta Lake, Databricks, Apache Iceberg)
- Ingest, transform, and processlarge volumes of structured and unstructured banking data
- Support AML use cases such as:
- Transaction monitoring
- Risk scoring
- Regulatory reporting
- Collaborate with cross-functional teams to deliverdata-driven AML insights
- Ensuredata quality, integrity, and governanceacross all pipelines
- Optimize data workflows forperformance, scalability, and cost-efficiency
- Integrate data from multiple sources including:
- Core banking systems
- Payment platforms
- External data providers
- Implementdata security and compliance controlsaligned with regulatory standards
- Troubleshoot data issues and provide ongoing support for production systems
Qualifications & RequirementsCore Requirements
- Proven experience as aBig Data Engineer, preferably within banking or financial services
- Strong understanding ofAML processes, financial crime data, and compliance requirements
- Hands-on experience withlakehouse platforms(must-have)
- Experience with big data technologies such as:
- Apache Spark
- Hadoop
- Kafka or similar
- Proficiency in at least one programming language:
- Python
- Scala
- Java
- Experience building and maintainingETL/ELT pipelines
- Strong knowledge of:
- Data modeling
- Data warehousing
- Distributed systems
Preferred Qualifications
- Experience withcloud platforms(AWS, Azure, or GCP)
- Familiarity withreal-time or near real-time data processing
- Experience working withregulated data environments
- Exposure todata governance and security frameworks