Celanese Corporation is a global chemical leader in the production of differentiated chemistry solutions and specialty materials used in most major industries and consumer applications. Our businesses use the full breadth of Celanese's global chemistry, technology and commercial expertise to create value for our customers, employees, shareholders and the corporation. As we partner with our customers to solve their most critical business needs, we strive to make a positive impact on our communities and the world through The Celanese Foundation. Based in Dallas, Celanese employs approximately 13,000 employees worldwide and had 2023 net sales of $10.9 billion. For more information about Celanese Corporation and its product offerings, visit www.celanese.com.
Analyzing and translating business needs into long-term solution data models on
Cognite Data Fusion.
Evaluating existing data systems.
Working with the development team to create conceptual data models and data
flows.
Developing best practices for data coding to ensure consistency within the system.
Reviewing modifications of existing systems for cross-compatibility.
Implementing data strategies and developing physical data models.
Updating and optimizing local and metadata models.
Evaluating implemented data systems for variances, discrepancies, and efficiency.
Troubleshooting and optimizing data systems.
Bachelor's degree in computer science, information technology, or a similar field.
8 years of hands-on experience with physical and relational data modelling.
Expert knowledge of metadata management and related tools.
Knowledge of mathematical foundations and statistical analysis.
Strong interpersonal skills.
Experience with team management.
Excellent communication and presentation skills.
Advanced troubleshooting skills.