Quantexa Technical Lead

KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.

KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused, and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.

Role Overview

We are seeking an experienced Tech Lead with strong expertise in Quantexa and data engineering to lead the design, configuration, and deployment of advanced analytics solutions on cloud platforms. The ideal candidate will have hands-on experience in implementing Quantexa software, managing complex data pipelines, and ensuring scalable, secure, and high-performing solutions.

Experience - 9 to 13 years

Notice Period - Immediate to 30 Days

Key Responsibilities

• Quantexa Implementation & Configuration
• Configure, deploy, and optimize Quantexa software on cloud platforms such as AWS, Azure, or Google Cloud.
• Ensure seamless integration of Quantexa with enterprise data sources and analytical tools.
• Manage Quantexa upgrades, patches, and performance tuning.
• Solution Design & Architecture
• Design and implement scalable data engineering solutions aligned with business requirements.
• Collaborate with architects and stakeholders to define technical roadmaps and best practices.
• Development & Coding
• Develop and maintain data pipelines using Scala (preferred), Java, or Python.
• Implement ETL processes, data transformations, and entity resolution logic within Quantexa.
• Cloud Deployment & Optimization
• Deploy solutions on AWS, Azure, or Google Cloud, ensuring security, compliance, and cost optimization.
• Utilize cloud-native services for storage, compute, and orchestration.
• Team Leadership
• Lead and mentor a team of engineers, ensuring adherence to coding standards and project timelines.
• Conduct code reviews and provide technical guidance.
• Stakeholder Management
• Work closely with business analysts, data scientists, and product owners to deliver high-quality solutions.
• Communicate technical concepts to non-technical stakeholders effectively.

Mandatory Skills

• Quantexa Certification and proven hands-on experience with Quantexa platform.
• Strong proficiency in Scala (preferred), Java, or Python.
• Experience configuring and deploying Quantexa on AWS, Azure, or Google Cloud.
• Solid understanding of data engineering principles, ETL processes, and big data technologies.
• Knowledge of entity resolution, graph analytics, and data integration.
• Familiarity with CI/CD pipelines, containerization (Docker/Kubernetes), and cloud security best practices.

Preferred Skills

• Experience with Spark, Hadoop, or other distributed data processing frameworks.
• Knowledge of API development, microservices architecture, and RESTful services.
• Exposure to financial crime detection, fraud analytics, or similar domains.

Education

• Bachelors or masters degree in computer science, Information Technology, or related field.

KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.