Data Engineer (Quantexa)

Role: Data Engineer-Quantexa\nLocation: Any where in India\nYears of experience: 5 to 12 yrs\nNotice Period: 0-30 (or) immediate joiners are also preferred\nMode of Interview: Virtual Mode\n\nRequired Technical Skill Set Spark, Scala, Hadoop, Quantexa\n\nEx-TCSers are not applicable\n\nResponsibilities:\n\nBuild and configure Quantexa-based fraud models using entity resolution, graph analytics, scoring models, and risk indicators.\nDevelop detection logic aligned with insurance fraud typologies such as staged accidents, inflated claims, synthetic identities, mule networks and collusive networks.\nImplement contextual monitoring to surface hidden relationships across claimants, brokers, vehicles, service providers, employees, and external parties.\nBuild and optimize Spark-based data pipelines for claims, policy, billing, FNOL, external intelligence and investigative data.\nEnhance investigative workflows by providing contextual network views for adjusters, SIU teams, and fraud investigators.\nPartner with SIU, Claims Operations, Underwriting Fraud teams to validate typologies and refine detection thresholds.\nTune Quantexa components such as entity resolution configuration, rule scoring, risk indicators and alert prioritization.