Responsibilities Design, implement and document data modelling solutions (relational, dimensional, NoSQL databases) Develop and maintain conceptual, logical, and physical data models for business units and programmes Identify and adopt an enterprise data model standard to leverage best practice and accelerate modelling effort Monitor, measure and report data modelling and development quality levels to ensure accurate capture of business requirements Remediate data models and development issues as key responsibility Perform reverse engineering of physical data models from databases and SQL scripts Develop and manage stakeholder relations to promote data modelling awareness and support decision making Desired Skills Analysis and problem solving Effective communication Planning and organising Conceptual thinking Drive for results Attention to detail Desired Work Experience 5 to 10 years Desired Qualification Level Degree Additional Requirements Capacity and performance management Extensive knowledge of data warehousing and multidimensional modelling best practices (OLAP e.g., ESSBASE or Microsoft Analysis Services), system design and management Extensive knowledge of most data modelling techniques Extensive knowledge of the most common RDBMS technologies (Oracle, IBM, SQL Server, MySQL) Experience deploying and managing big data environments (e.g., HADOOP, SPARK, NoSQL) Knowledge of database query languages (SQL) Experience with multiple programming languages (Java, C#) and integration techniques, patterns, tools and methodologies Minimum qualification required: Bachelor's degree in Computer Science or Information Management or equivalent Minimum 5-8 years experience in a data management environment Advantages: certifications and experience with AWS, Informatica Tool Stack, SAS, ERWIN, Python, R, Teradata #J-18808-Ljbffr