Data Warehouse Manager –Centurion – R900k to R1.1mil per annum
E-Merge
Centurion
ZAR 900 000 - 1 100 000
Job description
Data Warehouse Manager – Centurion – R900k to R1.1mil per annum
POSITION INFO :
Join a team of dynamic experts within a consultancy known for leading a world class data analytics / warehouse capability and specialising in AI and applications and helping enterprise clients to extract business value by implementing AI solutions has a vacancy for a Data Warehouse Manager who will be responsible for enabling future needs for advanced analytics and AI. You will also develop, test, deploy, maintain and support new databases, reporting, data warehouse and business intelligence applications from high-level business requirements and designs.
Responsibilities :
Develop, implement and document Business Intelligence Solutions
Contribute to the overall data warehouse architecture and database designs
Maintain and oversee the administration and maintenance of the data warehouse
Develop and maintain Business Intelligence and reporting technologies and processes
Translate stakeholder requirements into technical specifications for Business Intelligence (BI) reports and applications
Design and develop reports and dashboards based on Business Requirements Document (BRD) and customer specifications
Develop feasible technical specifications and process flows for data provision
Within user specifications extract, transform and load (ELT) data using the relevant tools
Verify and quality assure the data provided
Translate business requirements into workable solutions and document solutions into technical specifications
Qualifications and Experience :
Relevant IT and data analytics qualifications e.g. B.Tech or B.Sc. (Informatics) - Essential
Dimensional modelling and / or relevant Microsoft certification – Advantageous
3 – 5 years of management experience taking care of teams between 5 – 8 people
Experience on AWS / Azure SQL elastic instance, Data factory, Power BI
Solid understanding of Metadata constructs
Clear understanding of EDW
Must be familiar with the concept of Data Marts
Proven data modelling techniques (3 years)
Experience in Ralph Kimball data warehouse modelling (3 years)
Advanced knowledge of T-SQL, SSIS, SSAS, Visual Studio