Package Consultant-SAP Commerce

Introduction

A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. Youll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio

Your Role And Responsibilities

As an entry level Package Consultant at IBM, you will help to assist clients in the selection, implementation, and production support of application packaged solutions, such as SAP, Oracle, Salesforce, Microsoft Dynamics, Workday, or SharePoint solution suite, to meet client needs. Leveraging a growth mindset, youre ready and willing to deliver business value, wherever needed. In your role, you may be responsible for:

• Assisting clients in selection, implementation, and support of packages
• Make strategic recommendations and leverage business knowledge to drive solutions for clients and their management
• Run or support workshops, meetings, and stakeholder interviews
• Develop process maps to understand As-Is and To-Be scenarios
• Use IBMs Design Thinking to help solve clients challenges
  
  

• Expertise in designing and implementing scalable data warehouse solutions on Snowflake, including schema design, performance tuning, and query optimization.
• Strong experience in building data ingestion and transformation pipelines using Talend to process structured and unstructured data from various sources.
• Proficiency in integrating data from cloud platforms into Snowflake using Talend and native Snowflake capabilities
  
  

• Hands-on experience with dimensional and relational data modeling techniques to support analytics and reporting requirements.
• Understanding of optimizing Snowflake workloads, including clustering keys, caching strategies, and query profiling.
• Ability to implement robust data validation, cleansing, and governance frameworks within ETL processes