Data Engineer-Data Integration

Introduction

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

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, you're 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 package
• 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 IBM's Design Thinking to help solve client's challenges
  
  

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• 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
  
  

Preferred Technical And Professional Experience

• 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