About KPMG in India 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
Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored
Requirement: Oracle Infrastructure & Reporting Manager Experience (Years): 5 to 6 Years Work Location - Thane Job Description • Manage and oversee the Oracle reporting infrastructure including Oracle Analytics Publisher, Oracle Reports, and Oracle Database. •
Role: Informatica MDM SaaS Developer Location : Remote Shift : 10:00 PM IST - 6:00 AM IST Notice Period : Max 30 Days Key Responsibilities: Hands-on MDM Developer with extensive experience in end-end MDM SaaS implementation
Role: Informatica MDM Saa S Developer Location : Remote Shift : 10:00 PM IST - 6:00 AM IST Notice Period : Max 30 Days Key Responsibilities: Hands-on MDM Developer with extensive experience in end-end MDM Saa
• 6+ years of development experience • 3+ years of Oracle Sales experience • 2+ years Oracle Cloud (SaaS / Fusion) Experience • Experience with Oracle CX, eCommerce, and CRM • Application implementation experience • Experience
• API integration experience • IBM API Connect is a nice to have • Active Directory Integration • Experience using IIS application as a proxy router • Experience with rotating SSL Certificates • Experience collaborating with
IBM Datapower administrator position requires self-motivation and technical proficiency in the installation, configuration and administration of IBM Data Power with effective troubleshooting abilities. This position is focused on providing end to end support to the designated
Requirement - AI/ML Engineer Experience (Years): 6+ years Work Location: Western Suburb, Mumbai Job Description • Design, develop, and maintain scalable, efficient, and reliable systems to support GenAI and machine learning,based on applications and use cases