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.
- Solid 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.

📌 Quantexa - Data Engineer (Gurugram)
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