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# Quantexa Technical Lead

- **Company:** Galaxy i Technologies, Inc
- **Location:** Hartford, CT, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Amazon Web Services, Computing Platforms, Microsoft Azure, Big Data, Cloud Computing, Cloud Engineering, Code Review, Continuous Integration, Information Engineering, Linux, DevOps, Text Processing, Elasticsearch, Fraud Prevention and Detection, Apache Hadoop, Monitoring of Systems, Python (Programming Language), Unix Shell, Performance Tuning, SQL Databases, Systems Integration, Scripting, Google Cloud, Data Ingestion, Apache Spark, Git, Kubernetes, Deployment Automation, Apache Kafka, Docker, Jenkins
- **Published:** August 5, 2026
- **Apply:** https://www.dice.com/job-detail/d60d9c99-359c-4fff-a6df-530d49d4269c

## About the Role

Role Descriptions: Strong experience with Linux| Java/Scala ecosystem| Spark| Elasticsearch/OpenSearch| Kafka| SQL| scripting (Shell/Python)| CI/CD pipelines| and monitoring tools is highly desirable.
Essential Skills: Quantexa Technical Lead

Skills: Digital : Scala~Unix Shell Scripting and text processing tools~Unix / Linux Basics and Commands
Experience Required: 10 & Above

 * Top 3 Required Skills:
Quantexa Platform Expertise
Strong hands-on experience with Quantexa solution development, entity resolution, network generation, contextual analytics, and workflow configuration.
Experience delivering Quantexa solutions for KYC, AML, Fraud, Customer 360, or Financial Crime programs.
Big Data & Data Engineering
Expertise in data ingestion, data modeling, Spark, Hadoop ecosystem, SQL, and large-scale data processing.
Experience integrating multiple structured and unstructured data sources into Quantexa.
Technical Leadership & Solution Design
Ability to lead end-to-end solution architecture, development, code reviews, performance optimization, and deployment activities.
Experience managing technical teams and driving delivery in Agile environments.

 * Top 3 Preferred Skills:
Cloud Experience
AWS, Azure, or Google Cloud Platform experience with large-scale data platforms and cloud-native architectures.
Financial Services Domain Knowledge
Knowledge of AML, KYC, Customer Due Diligence (CDD), Sanctions Screening, Fraud Detection, and Regulatory Compliance.
DevOps & Automation
CI/CD, Git, Jenkins, Docker, Kubernetes, and automated deployment practices.



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