Quantexa - Data Engineer

Role Overview

We are looking for an experienced Quantexa Data Engineer to join our Financial Crime Risk Technology - Contextual Monitoring Program. The role focuses on designing, building, and optimizing Quantexa-based solutions that enhance Financial Crime, AML, Risk, and Compliance capabilities.

The ideal candidate will have strong expertise in Quantexa, Spark, Scala, AWS, and Data Engineering, with experience delivering large-scale contextual monitoring, entity resolution, and network analytics solutions.

Key Responsibilities

• Design, develop, and support Quantexa-based Contextual Monitoring and Financial Crime solutions.
• Build and maintain data ingestion, transformation, and enrichment pipelines.
• Configure and optimize Quantexa processing pipelines using Apache Spark and Scala.
• Implement entity resolution, network generation, risk scoring, and data model configuration.
• Integrate multiple internal and external data sources into Quantexa platforms.
• Develop scalable and resilient data processing solutions for structured and unstructured datasets.
• Implement data quality, reconciliation, monitoring, and operational controls.
• Deploy and support solutions across AWS Cloud and Kubernetes environments.
• Contribute to CI/CD automation and platform optimization initiatives.
• Work closely with business stakeholders, architects, and engineering teams in Agile delivery environments.

Mandatory Skills

Quantexa

• Hands-on implementation experience with Quantexa in enterprise environments.
• Strong understanding of:
• Entity Resolution
• Network Generation
• Risk Scoring
• Data Model Configuration
• Data Ingestion & Enrichment
• Contextual Monitoring Solutions

Data Engineering

• Strong experience in Apache Spark.
• Advanced Scala development skills.
• Exposure to Java and/or Python.
• Strong SQL and Data Modeling expertise.
• Experience working with large-scale structured and unstructured datasets.

Cloud & DevOps

• Hands-on AWS experience with:
• S3
• EKS
• IAM
• RDS
• OpenSearch / Elasticsearch
• Experience with:
• Docker
• Kubernetes
• Git
• CI/CD Pipelines

Preferred Skills

• Financial Crime, AML, KYC, Fraud Detection, or Compliance domain expertise.
• Experience with:
• Airflow
• Argo Workflows
• Control-M
• DBT
• Presto
• Trino
• Exposure to data governance and monitoring frameworks.

Ideal Candidate Profile

• 5+ years of Data Engineering experience.
• 2+ years of hands-on Quantexa implementation experience.
• Strong expertise in Spark and Scala.
• Experience delivering AML, Financial Crime, Compliance, Fraud, or Risk Technology solutions.
• Experience deploying and supporting applications on AWS.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication and stakeholder management capabilities.