Data Engineer-Data Modeling

About the Role

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.

Your Role And Responsibilities

As a Data Engineer specializing in Data Modeling, you will design and implement data models for applications and related systems, translating business needs into logical and physical data models. You will apply your expertise in data modeling tools and techniques to deliver high-quality solutions.

Your Primary Responsibilities Will Include

• Design and implement data models for applications and related systems, ensuring alignment with business needs and requirements.
• Utilize expertise in data modeling tools and techniques, including ERWin, MDM, and/or ETL, to develop logical and physical data models.
• Translate business needs into logical and physical data models, ensuring data models meet business requirements and are properly implemented.
• Implement data models for applications and related systems, ensuring data integrity and consistency across systems.

Qualifications

• Experience with data modeling tools such as ERWin, MDM, and/or ETL, with the ability to apply expertise in these tools to develop logical and physical data models.
• Experience with designing and implementing data models for applications and related systems, ensuring alignment with business needs and requirements.
• Experience with developing logical and physical data models, translating business needs into technical solutions.
• Experience with implementing data models that ensure data integrity and consistency across systems.
• Experience with analyzing business needs and requirements to inform data model design and implementation.

Preferred Education: Master's Degree

Preferred Technical And Professional Experience

• Exposure to data warehousing concepts and methodologies, including data governance and data quality.
• Experience with advanced data modeling techniques, such as data vault and dimensional modeling.
• Familiarity with big data technologies, including Hadoop and NoSQL databases.