Quantexa Technical Lead

Galaxy i Technologies, Inc

Hartford, CT, United States

about 1 month 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

www.dice.com

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

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.