Overview
We are seeking a Senior Data Engineer with extensive Quantexa expertise to spearhead the creation of large-scale, data-driven solutions for enterprise clients. This role involves collaborating with architects and technical leads to design production-ready solutions, while also focusing on pipeline optimization and component configuration. The ideal candidate will play a crucial role in integrating these solutions into broader enterprise data platforms.
Responsibilities
- Lead development of Quantexa-based data solutions.
- Build and optimise data pipelines using Spark, Scala, Databricks, and Python.
- Configure Quantexa components including Entity Resolution, Scoring, and Network Generation.
- Collaborate with Architects and Tech Leads to design scalable, production-ready solutions.
- Support integration into wider enterprise data platforms, ensuring cloud, DevOps, and security requirements are met.
Requirements
- Quantexa Technical Certification is required.
- Strong hands-on experience in delivering Quantexa solutions.
- Demonstrated experience leading data engineering or integration projects for enterprise clients.
- Proficiency in Scala, Python, and Databricks is essential.
- Experience in Financial Services, AML, Fraud, or KYC is a plus.
- Familiarity with CI/CD tools such as Jenkins, GitHub Actions, or Azure DevOps.
- Exposure to Docker and Kubernetes is advantageous.