Lead Data Engineer - Quantexa

About Chubb India

Position details

Solution design and delivery

• Own technical design, quality, and successful delivery of Quantexa solutions.
• Translate business requirements into technical solutions with product owners, architects, business analysts, and stakeholders.
• Define and review architecture, solution design, and implementation approaches.
• Ensure scalability, performance, security, maintainability, and reliability requirements are met.
• Identify technical risks and dependencies, drive automation and standardization, support deployments, and reduce technical debt.

Technical leadership

• Provide technical leadership across multiple Quantexa workstreams and projects.
• Act as the primary technical escalation point for development teams and stakeholders.
• Lead architecture, code, design, and performance reviews.
• Establish technical standards, development guidelines, and governance processes.
• Guide teams in designing scalable and reusable Quantexa frameworks and components.

Quantexa platform expertise

• Lead hands-on work across Quantexa ETL Frameworks, Entity Resolution, Network Generation, Graph Scripting, Compound Design, and Scoring Frameworks.
• Support Alerting Framework Configuration, Task Loading Frameworks, Decision Intelligence Workflows, and data ingestion and processing pipelines.
• Work with historical, incremental, near-real-time, and batch processing, including performance tuning and data quality validation.

Engineering and team development

• Mentor Quantexa developers and data engineers and promote technical capability development.
• Champion coding standards, testing frameworks, CI/CD processes, monitoring, logging, alerting, and operational support.
• Drive performance optimization, root cause analysis, reusable frameworks, and continuous improvement.

Required experience and education

• Lead multiple Quantexa proofs of concept, pilot programs, and enterprise implementations.
• Have strong Quantexa architecture and development expertise, including Entity Resolution, Compounds, ETL, graph scripting, scoring, alerting, and task loading.
• Have hands-on experience with Scala, Apache Spark, Hadoop, SQL, distributed data processing, data modeling, data quality, ETL, and data integration.
• Have at least 8 years of software development and data engineering experience, including at least 4 years of hands-on Quantexa implementation experience.
• Hold a bachelor's or master's degree in Computer Science, Information Technology, Engineering, or a related field.

DevOps, cloud, and domain experience

• Experience with Git, Jenkins, Azure DevOps, CI/CD pipelines, release management, and cloud deployment is required.
• Preferred domain experience includes financial crime and AML, fraud detection, customer intelligence, insurance analytics, risk and compliance, KYC/CDD, banking, or financial services.
• Quantexa certification and relevant cloud certification are preferred or additional qualifications.
• Preferred technologies include Python, Elasticsearch, Kafka, REST APIs, Docker, Kubernetes, and Azure, AWS, or GCP.

Company and employee experience

• Chubb highlights digital transformation, innovation, collaborative work, continuous learning, and career advancement.
• The posting describes flexible work options, paid time off, health coverage, learning opportunities, and other employee benefits.