We are looking for an experienced Quantexa Data Engineer to design, develop, and support enterprise-scale Quantexa solutions for Financial Crime, Risk, and Entity Resolution use cases. The ideal candidate should have robust expertise in Quantexa Data Engineering, Scala, Apache Spark, SQL, and AWS, with experience building high-performance data pipelines and scoring solutions.

Key Responsibilities :

- Design, develop, and maintain Quantexa Data Engineering and Scoring solutions.
- Build scalable data pipelines for entity resolution, network analytics, and Financial Crime use cases.
- Develop and optimize data processing workflows using Scala, Apache Spark, and SQL.
- Configure and support Quantexa data models, ingestion pipelines, and scoring frameworks.
- Work with Quantexa Investigation UI to support case management and investigations.
- Develop and optimize cloud-based data solutions on AWS.
- Perform data profiling, cleansing, validation, and quality assurance to ensure reliable data processing.
- Collaborate with business stakeholders,



architects, and engineering teams to deliver scalable solutions.
- Troubleshoot production issues and optimize application performance.
- Prepare technical documentation and support deployment and release activities.

Required Skills :

- 7 - 12 years of experience in Data Engineering or Big Data development.
- Strong hands-on experience with Quantexa Data Engineering and Quantexa Scoring.
- Proficiency in Scala, Apache Spark, and SQL.
- Experience with Quantexa Investigation UI.
- Strong experience with AWS services, including :
- EMR
- S3
- EC2
- Lambda
- Step Functions
- Good understanding of data modeling, data analysis, and data quality management.
- Experience building scalable cloud-based data pipelines.
- Strong analytical, troubleshooting, and problem-solving skills.
- Excellent communication and stakeholder management skills.

📌 Synechron - Quantexa Data Engineer (India)
🏢 Synechron
📍 India