Lead Data Engineer - Quantexa

Qualifications

• REQUIRED SKILLS & EXPERIENCE
• Quantexa Experience
• Proven experience leading multiple Quantexa implementations including Proof of Concept (PoC), Pilot Programmes and Enterprise Implementations.
• Strong expertise in Quantexa platform architecture and development.
• Hands-on experience configuring and optimising qModel, qEntity, qElement, qCompound, Scoring Frameworks, Alerting Frameworks, Task Loading Frameworks and Graph Scripts.
• Expertise in Entity Resolution design and tuning.
• Expertise in Compound development and optimisation.
• Strong experience in Quantexa ETL framework implementation and troubleshooting.
• Experience tuning large-scale Quantexa pipelines for performance and scalability.
• Strong understanding of Network Generation and Decision Intelligence methodologies.
• Quantexa Certified Professional or Technical Lead Certification preferred.
• Data Engineering & Big Data
• Strong hands-on experience with Scala, Apache Spark, Hadoop Ecosystem and SQL.
• Experience designing and building large-scale distributed data processing solutions.
• Strong understanding of data modelling, data quality, ETL processes, data integration and data validation frameworks.
• Experience with high-volume data processing environments.
• DevOps & Cloud
• Experience with Git, Jenkins, Azure DevOps and CI/CD Pipelines.
• Understanding of DevOps principles and release management.
• Experience deploying applications in cloud environments (Microsoft Azure, AWS, GCP).
• Knowledge of monitoring, logging, observability and operational support processes.
• Preferred Domain Experience
• Experience delivering Quantexa solutions within one or more of the following domains:
• Financial Crime & AML
• Fraud Detection
• Customer Intelligence
• Insurance Analytics
• Risk & Compliance / KYC / CDD
• Banking & Financial Services
• Technical Skills Summary
• Mandatory:
• Quantexa Platform -- ETL, Entity Resolution, Network Generation, Graph Scripting, Scoring Framework, Alerting Framework, Task Loading Framework, Compound Development, Performance Tuning
• Scala | Apache Spark | Hadoop | SQL | Git | CI/CD
• Preferred:
• Python | Elasticsearch | Kafka | REST APIs | Docker | Kubernetes
• Azure | AWS | GCP
• KEY COMPETENCIES
• Technical Leadership: Ability to provide technical direction, define engineering standards and guide teams through complex technical challenges.
• Solution Ownership: Accountable for solution design, build quality, delivery and operational success.
• Problem Solving: Strong analytical and troubleshooting skills with the ability to resolve complex business and technical challenges.
• Communication: Effectively communicate complex technical concepts to both technical and non-technical stakeholders.
• Mentorship: Develop technical capabilities within teams through coaching, training and knowledge sharing.
• Stakeholder Management: Build strong relationships with Product Owners, Architects, Business Analysts, Delivery Managers and Business Stakeholders.
• Delivery Excellence: Demonstrated ability to deliver enterprise-scale Quantexa solutions on schedule while maintaining high quality standards.
• EDUCATION & CERTIFICATIONS
• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering or a related field.
• Quantexa Certification preferred.
• Relevant Cloud Certification (Azure / AWS / GCP) is a plus.
• EXPERIENCE
• 8+ years of software development and data engineering experience.
• 4+ years of hands-on Quantexa implementation experience.
• Proven experience leading enterprise-scale Quantexa delivery teams.
• Experience managing technical delivery across multiple Quantexa projects and environments.
• IDEAL CANDIDATE
• An experienced Quantexa leader with deep expertise in ETL, Entity Resolution, Graph Scripting, Compounds, Scoring, Alerting, Task Loading, Performance Tuning, Scala, Spark and enterprise-scale Quantexa implementations -- capable of driving both technical excellence and successful delivery outcomes.
• Why Join Us?
• Be at the forefront of digital transformation in the insurance industry.
• Lead impactful initiatives that simplify claims processing and enhance customer satisfaction.
• Work alongside experienced professionals in a collaborative, innovation-driven environment.
• Why Chubb?
• Join Chubb to be part of a leading global insurance company!
• Our constant focus on employee experience along with a start-up-like culture empowers you to achieve impactful results.
• Industry leader: Chubb is a world leader in the insurance industry, powered by underwriting and engineering excellence
• A Great Place to work: Chubb India has been recognized as a Great Place to Work® for the years 2023-2024, 2024-2025 and 2025-2026
• Laser focus on excellence: At Chubb we pride ourselves on our culture of greatness where excellence is a mindset and a way of being. We constantly seek new and innovative ways to excel at work and deliver outstanding results
• Start-Up Culture: Embracing the spirit of a start-up, our focus on speed and agility enables us to respond swiftly to market requirements, while a culture of ownership empowers employees to drive results that matter
• Growth and success: As we continue to grow, we are steadfast in our commitment to provide our employees with the best work experience, enabling them to advance their careers in a conducive environment
• Employee Benefits
• Our company offers a comprehensive benefits package designed to support our employees’ health, well-being, and professional growth. Employees enjoy flexible work options, generous paid time off, and robust health coverage, including treatment for dental and vision related requirements. We invest in the future of our employees through continuous learning opportunities and career advancement programs, while fostering a supportive and inclusive work environment. Our benefits include:
• Savings and Investment plans: We provide specialized benefits like Corporate NPS (National Pension Scheme), Employee Stock Purchase Plan (ESPP), Long-Term Incentive Plan (LTIP), Retiral Benefits and Car Lease that help employees optimally plan their finances
• Upskilling and career growth opportunities: With a focus on continuous learning, we offer customized programs that support upskilling like Education Reimbursement Programs, Certification programs and access to global learning programs.
• Health and Welfare Benefits: We care about our employees’ well-being in and out of work and have benefits like Hybrid Work Environment, Employee Assistance Program (EAP), Yearly Free Health campaigns and comprehensive Insurance benefits.
• Application Process
• Our recruitment process is designed to be transparent, and inclusive.
• Step 1: Submit your application via the Chubb Careers Portal.
• Step 2: Engage with our recruitment team for an initial discussion.
• Step 3: Participate in HackerRank assessments/technical/functional interviews and assessments (if applicable).
• Step 4: Final interaction with Chubb leadership.
• Join Us
• With you Chubb is better. Whether you are solving challenges on a global stage or creating innovative solutions for local markets, your contributions will help shape the future. If you value integrity, innovation, and inclusion, and are ready to make a difference, we invite you to be part of Chubb India’s journey.
• Apply Now: https://www.chubb.com/emea-careers/
• REQUIRED SKILLS & EXPERIENCE Quantexa Experience Proven experience leading multiple Quantexa implementations including Proof of Concept (PoC), Pilot Programmes and Enterprise Implementations. Strong expertise in Quantexa platform architecture and development. Hands-on experience configuring and optimising qModel, qEntity, qElement, qCompound, Scoring Frameworks, Alerting Frameworks, Task Loading Frameworks and Graph Scripts. Expertise in Entity Resolution design and tuning. Expertise in Compound development and optimisation. Strong experience in Quantexa ETL framework implementation and troubleshooting. Experience tuning large-scale Quantexa pipelines for performance and scalability. Strong understanding of Network Generation and Decision Intelligence methodologies. Quantexa Certified Professional or Technical Lead Certification preferred. Data Engineering & Big Data Strong hands-on experience with Scala, Apache Spark, Hadoop Ecosystem and SQL.