Role: Quantexa Developer

Location: Toronto, ON, Canada (Hybrid 4 days a week on site) Duration Long Term Contract Mode of Interview: Face To Face

JOB DESCRIPTION

We are seeking a skilled Quantexa Developer with strong expertise in data engineering entity resolution and network analytics The ideal candidate will design develop and implement Quantexabased solutions to support fraud detection risk analytics and customer intelligence initiatives You will work closely with data engineers architects business analysts and stakeholders to deliver scalable and highperformance data solutions

Key Responsibilities

Design and develop Quantexa data pipelines and entity resolution solutions Build and configure Quantexa data models pipelines and scoring logic Develop and maintain Quantexa configuration Context Configuration Entity Resolution Analytics scoring Implement and manage data ingestion transformation and normalization logic Collaborate with stakeholders to translate business requirements into technical solutions Integrate Quantexa with big data platforms Hadoop Spark Databricks etc Optimize system performance and scalability of Quantexa workloads Perform data quality checks validation and troubleshooting Support deployment testing and production releases Document technical designs workflows and processes Technical Skills: Strong experience with Quantexa platform latest versions preferred Proficiency in Scala or Java Scala highly preferred Experience with Apache Spark Big Data ecosystems Strong SQL skills and experience with data modeling Knowledge of entity resolution graphnetwork analytics Experience working with ETL pipelines and data integration Tools Technologies: Quantexa Context Data Management Scoring Apache Spark Hadoop ecosystem Databricks preferred Git CICD tools REST APIs and microservices architecture nice to have Domain Experience Preferred: Financial services banking or insurance Fraud detection AML AntiMoney Laundering KYC Risk and compliance analytics Soft Skills: Strong problemsolving and analytical thinking Ability to work in agile environments Excellent communication and stakeholder management skills Ability to handle complex datasets and business logic