Job Overview:

Requirement/Must Have:

- 5+ years of experience in Quantexa development.
- Robust experience with Quantexa platform, latest versions preferred.
- Proficiency in Scala or Java; Scala highly preferred.
- Experience with Apache Spark and Big Data ecosystems.
- Strong SQL skills and experience with data modeling.
- Knowledge of entity resolution and graph/network analytics.
- Experience working with ETL pipelines and data integration.

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, and 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 such as 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.

Nice to Have:

- Experience with Databricks.
- Familiarity with Git and CI/CD tools.
- Knowledge of REST APIs and microservices architecture.

Skills:

- Strong problem-solving and analytical thinking.
- Ability to work in agile environments.
- Excellent communication and stakeholder management skills.
- Ability to handle complex datasets and business logic.

Education and Experience:

- Domain experience in financial services, banking, or insurance.
- Experience in fraud detection, AML (Anti-Money Laundering), and KYC.
- Knowledge of risk and compliance analytics.

📌 Quantexa Developer (Toronto)
🏢 Cynet Systems
📍 Toronto