Job Title: Quantexa Technical Lead
Location: Hartford, CT
Duration: 06 months (with possibility of extension)
Pay Rate: $50.00- 62.00/hr on W2/C2C
We are seeking an experienced Quantexa Technical Lead to lead the design, development, and implementation of enterprise-scale solutions using the Quantexa platform. The ideal candidate will have strong expertise in Quantexa solution development, entity resolution, contextual analytics, big data engineering, and financial crime analytics.
The candidate will be responsible for leading technical architecture, solution design, development activities, performance optimization, and deployment of Quantexa-based solutions. The role requires strong hands-on experience with Java/Scala ecosystems, Spark, Kafka, Elasticsearch/OpenSearch, SQL, Linux, scripting, and cloud-based data platforms.
Key Responsibilities:
- Lead end-to-end Quantexa platform implementation and solution delivery.
- Design and develop solutions involving:
- Entity Resolution
- Network Generation
- Contextual Analytics
- Workflow Configuration
- Develop Quantexa solutions for use cases including:
- AML (Anti-Money Laundering)
- KYC (Know Your Customer)
- Fraud Detection
- Customer 360
- Financial Crime Compliance
- Lead solution architecture, technical design, development, and deployment activities.
- Perform code reviews, troubleshoot technical issues, and optimize application performance.
- Integrate structured and unstructured data sources into Quantexa platforms.
- Design scalable data processing solutions using big data technologies.
- Collaborate with business stakeholders, architects, developers, and data teams.
- Provide technical leadership and mentorship to development teams.
- Drive Agile delivery practices and ensure successful project execution.
Required Technical Skills:
- 10+ years of experience in software engineering, data engineering, or technical leadership roles.
- Strong hands-on experience with Quantexa platform.
- Expertise in:
- Quantexa solution development
- Entity Resolution
- Network Analytics
- Contextual Analytics
- Workflow Configuration
- Strong experience with Big Data technologies:
- Apache Spark
- Hadoop ecosystem
- Large-scale data processing
- Data ingestion and transformation
- Strong programming experience with:
- Experience with:
- Kafka
- Elasticsearch / OpenSearch
- SQL
- Shell scripting
- Python scripting
- Strong knowledge of Linux/Unix environments and commands.
- Experience designing and implementing CI/CD pipelines.
- Experience with monitoring and operational support tools.
Preferred Skills:
- Cloud platform experience with:
- Financial services domain experience including:
- AML
- KYC
- Customer Due Diligence (CDD)
- Sanctions Screening
- Fraud Detection
- Regulatory Compliance
- DevOps and automation experience:
- Git
- Jenkins
- Docker
- Kubernetes
- Automated deployment frameworks
- Experience leading Agile teams and enterprise implementations.