Introduction
A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
Your Role And Responsibilities
As a Data Engineer specializing in Data Warehouses, you will design, develop, and integrate data management systems, leveraging tools like Teradata and Snowflake to drive analytics solutions. You will utilize your analytical and problem-solving skills to ensure the efficient management of large-scale data systems.
Your Primary Responsibilities Will Include
- Design and Develop Data Systems: Create complex application components and integrate software packages, programs, and reusable objects across various platforms to support data warehouse management.
- Integrate Analytics Solutions: Develop and implement analytics solutions using tools like Teradata and Snowflake to drive business insights and decision-making.
- Ensure Efficient Data Management: Apply strong analytical and problem-solving skills to optimize the performance of large-scale data systems and ensure seamless data integration.
- Develop Reusable Objects: Create reusable objects and software packages to support data management and analytics solutions across multiple platforms.
- Troubleshoot Data Issues: Identify and resolve data management issues to ensure the accuracy and integrity of data in the warehouse.
Preferred Education
Bachelor's Degree
Required Technical And Professional Expertise
- Experience working with data warehouses and modern data architecture.
- Proficiency in SQL for data querying and transformation.
- Hands-on experience with DBT (Data Build Tool).
- Experience using Snowflake for data storage and processing.
- Strong understanding of data modeling and ETL/ELT processes.
