Quantexa Developer – Data Engineering & Entity Resolution

About the role

We are looking for a skilled Quantexa Developer to design, build, and maintain data pipelines and entity‑resolution solutions that power fraud detection, risk analytics, and customer intelligence. You will collaborate with data engineers, architects, business analysts, and stakeholders to deliver high‑performance, scalable solutions.

Key responsibilities

• Design and develop Quantexa data pipelines, entity‑resolution models, and scoring logic.
• Configure and maintain Quantexa Context, Data Management, and Scoring components.
• Implement data ingestion, transformation, and normalization processes.
• Integrate Quantexa with big‑data platforms such as Hadoop, Spark, and Databricks.
• Optimize 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.

Required profile

• Strong problem‑solving and analytical thinking.
• Experience working in agile environments.
• Excellent communication and stakeholder‑management skills.
• Domain experience in financial services, banking, or insurance (preferred).

Required skills

• Quantexa platform (latest versions preferred).
• Scala or Java (Scala highly preferred).
• Apache Spark and Hadoop ecosystem.
• Databricks (preferred).
• SQL and data modeling.
• Entity‑resolution and graph/network analytics.
• ETL pipeline development and data integration.
• Git, CI/CD tools.
• REST APIs and micro‑services architecture (nice to have).