Quantexa Technical Lead

Galaxy i Technologies, Inc
Hartford, CT, United States
3 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

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
+21 more
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

Requirements

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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