Senior Data Modeller

About the position

• Design, implement and document data modelling solutions which include but not limited to the use of relational, dimensional and NoSQL databases
• Develop and maintain conceptual, logical and physical data models as required by Organisation business units and their various programme
• Identify and adopt an enterprise data model as a standard for data model designs to leverage best practice and fast track modelling effort
• Monitor, measure and report the data modelling and data development quality levels to ensure the correct information is captured on business requirements.
• Assume the key responsibility for remediation of data models and data development issues.
• Perform reverse engineering of physical data models from databases and SQL scripts.
• To monitor, measure and report the data modelling and data development quality levels to ensure the correct information is captured on business requirements
• To develop and manage stakeholder relations effectively to promote data modelling awareness across the organisation and support reliable 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

About The Employer:

Additional requirements include:



- capacity and performance management
- extensive knowledge of best practices/methodologies in data warehousing and multidimensional data modelling (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 (e.g. Oracle, IBM, SQLServer, MySql);
- experience in deploying and managing big bata environments (e.g HADOOP, SPARK and NoSQL);
- knowledge of database query languages (e.g. SQL);
- experience with a variety of programming languages, including but not limited to JAVA and C#; and experience in using a broad variety of integration techniques, patterns, tools and methodologies.





- Minimum Qualification Required:
- A minimum of a Bachelor's degree in Computer Science or Information Management OR equivalent;
- A minimum of five to eight years' experience in a data management environment
- The following will be an added advantage:
- Certification and experience with the following will be an added advantage. AWS, Informatica Tool Stack, SAS, ERWIN, Python and R, Teradata