Required Qualifications:
- Minimum of 2+ years of hands-on experience as Python developer.
- Proficiency backend languages such as Python; Familiarity with Java or Node.js.
- Proficiency in scripting languages like JavaScript, KnockoutJS.
- Proficiency in database management.
- Experience with REST/SOAP APIs for system integrations.
- Ability to troubleshoot and solve issues related to configuration and pricing workflows.
Nice-to-Have Qualifications:
- Experience with SAP CPQ’s scripting and rule engine and solid understanding of CPQ principles, configuration, and pricing logic.
- Understanding of the SAP ecosystem, such as integration with SAP ERP and CRM.
- Familiarity with Agile methodologies and CI/CD practices.
- Ability to work effectively in cross-functional teams.
- Strong analytical and problem-solving skills.
Responsibilities:
- Configure and customize SAP CPQ for clients, ensuring the accurate reflection of their pricing, quoting, and product needs.
- Support the integration of SAP CPQ with ERP, CRM, and other business systems.
- Write and maintain clean, reusable code in JavaScript and backend languages for custom CPQ logic.
- Participate in technical design discussions and work closely with senior team members.
- Debug and resolve technical issues in SAP CPQ configurations.
- Assist in testing and deploying SAP CPQ enhancements and upgrades.
Top Skills
What We Do
We specialize in transforming Revenue Operations through advanced technological integration, combining AI, analytics, and strategic workflow automation.
Our core competency lies in developing comprehensive revenue optimization strategies that unify critical business functions including marketing, sales, billing, enterprise resource planning, and revenue recognition.
Leveraging SAP and other vendors' enterprise technologies we deliver sophisticated solutions that enable organizations to:
- Develop strategic outcome-based business models
- Implement enterprise-wide digital transformation
- Optimize complex revenue management processes
- Minimize implementation risks and operational costs
Our approach is distinguished by:
1. Comprehensive industry expertise
2. Advanced technological architecture
3. Proven deployment methodologies
4. Balanced focus on long-term strategic planning and immediate operational improvements
We collaborate with clients to design precision-engineered revenue ecosystems that align technological capabilities with strategic business objectives, ensuring sustainable growth and operational efficiency.
Expertise Areas:
1. Intelligent Revenue Operations (iRevOps)
2. Enterprise Technology Integration
3. Strategic Digital Monetization
4. AI-Enhanced Business Process Optimization
Our methodological framework transforms complex business requirements into streamlined, data-driven operational strategies.
