About TresVista

TresVista is a global enterprise whose business model is built to deliver enduring value. TresVista combines best practices, technology enabled execution, and industry-leading talent to drive meaningful results. By integrating advisory capabilities with scalable delivery, TresVista helps clients operate smarter and grow stronger. TresVista's services include investment diligence, industry research, valuation, fund administration, accounting, and data analytics.

Role Overview

This role is suited for candidates who are passionate about building AI-driven data solutions, enterprise integrations, and cloud-based intelligent applications. The Associate will focus on developing Retrieval-Augmented Generation (RAG) solutions, integrating SAP and enterprise data sources, building AI-powered validation and reconciliation systems, and deploying scalable applications on Microsoft Azure. The position requires strong expertise in Python development, AI/LLM technologies, data engineering, API integrations, and cloud-native architectures, along with strong analytical and problem-solving capabilities.

Roles and Responsibilities

Design, develop, and support SAP solutions across SAP S/4HANA, SAP BTP, and related SAP platforms to meet business and operational requirements.

Develop and maintain integrations between SAP S/4HANA, SAP CPI, third-party applications, and enterprise platforms using APIs, web services, and integration frameworks.

Design, build, and enhance SAP data extraction, reconciliation, and reporting solutions for financial and operational business processes.

Analyze SAP transactional and master data to support business reporting, process automation, and data quality initiatives.

Troubleshoot and resolve SAP integration issues, including SAP CPI mapping errors, API failures, interface exceptions, and data inconsistencies.





Collaborate with business stakeholders, SAP functional consultants, and enterprise technology teams to gather requirements and deliver scalable SAP solutions.

Develop and support SAP BTP-based applications, extensions, workflows, and integrations as part of the organization's cloud transformation initiatives.

Work with SAP Datasphere, enterprise data platforms, and reporting tools to enable analytics, dashboards, and data-driven decision-making.

Contribute to automation, data validation, and intelligent business process improvements using contemporary Data and AI technologies where relevant.

Ensure solution quality through adherence to development standards, security requirements, performance optimization, monitoring, and operational best practices.

Support the evaluation and implementation of emerging technologies, including AI and Generative AI capabilities within the SAP ecosystem.

Prerequisites:

Strong experience in SAP development and integration, preferably within SAP S/4HANA environments.

Hands-on experience with SAP APIs, OData services, REST-based integrations, and SAP integration frameworks.

Good understanding of SAP business processes, master data, and transactional data structures.

Experience working with SAP CPI (Cloud Platform Integration) for interface development, monitoring, troubleshooting, and support.

Experience with SAP BTP services, application development, extensions, and integration capabilities.





Knowledge of SAP Datasphere, SAP Analytics, and enterprise reporting solutions.

Strong analytical, problem-solving, and stakeholder management skills.

Experience with Python for automation, data processing, and system integration is preferred.

Understanding of data engineering concepts, ETL frameworks, and data quality principles is preferred.

Exposure to Generative AI, Large Language Models (LLMs), and enterprise AI solutions is desirable.

Experience with Power BI or other enterprise analytics and visualization platforms is preferred.

Experience:

3-7 years

Education:

BTECH/MTECH/BE/ME

Compensation:

The compensation structure will be as per industry standards

Required Skills

Strong experience in SAP development and integration, preferably within SAP S/4HANA environments.

Hands-on experience with SAP APIs, OData services, REST-based integrations, and SAP integration frameworks.

Good understanding of SAP business processes, master data, and transactional data structures.

Experience working with SAP CPI (Cloud Platform Integration) for interface development, monitoring, troubleshooting, and support.

Experience with SAP BTP services, application development, extensions, and integration capabilities.

Knowledge of SAP Datasphere, SAP Analytics, and enterprise reporting solutions.

Strong analytical, problem-solving, and stakeholder management skills.

Experience with Python for automation, data processing, and system integration is preferred.

Understanding of data engineering concepts, ETL frameworks, and data quality principles is preferred.

Exposure to Generative AI, Large Language Models (LLMs), and enterprise AI solutions is desirable.

Experience with Power BI or other enterprise analytics and visualization platforms is preferred.

📌 Associate (Mumbai)
🏢 TresVista Financial Services
📍 Mumbai