Senior Data Warehouse Engineer Durban Neg up to R780k CTC
Africa’s largest providers in technology who are well known for making life better through innovative technology are looking for a Senior Data Warehouse Engineer to join their team.
You will be required to assist the business in the data warehouse processes to see that they are running at an ideal capacity at all times.
This role is more hands-on rather than managerial role; however, it does require mentoring and training of junior members to the team.
Maintain the business’s physical and logical data models, reflective of the current business environments
Provides technical assistance in the identification, evaluation, and development of data warehousing systems and procedures
Defines and promotes the data warehouse department’s design principles and best practices with regard to architecture and techniques
Design and support the table schemas and database for new and existing data sources for the business’s data warehouse.
He / she further creates and supports the ETL to facilitate the on-boarding of data into the data warehouse through the use of SSIS and other technologies
Lead data-related technical projects for the business across platforms where he / she participates in project planning and the analysis of the business’s data requirements and solutions
The role is highly collaborative and works closely with analytical teams for the purpose of ensuring that the business’s data warehouse is able to support all of the business requirements across departments.
Bachelor’s degree (Master’s preferred) in Computer Science, Data Science, Information Technology, Statistics, Information Systems, or any other related field.
Equivalent Microsoft certifications (MCSA or MCSE) and relevant working experience is also acceptable for this position
Experience & Technical Expertise
At least 5 years working in a data warehousing position within a fast-paced and complex business environment
Experience developing schema data models in a data warehouse environment
Experience with Agile / Scrum methodologies and sprint planning
Proven and successful experience working with ETL concepts of data integration, consolidation, enrichment, and aggregation
Experience working with SQL server database administration, integration services, analysis services, and MDX query language
High-level development skills in SQL and SSIS scripting as well as Analysis Services
Azure (database configuration) experience required. Experience with Azure Data Lake, Big data technologies (Pig, Hive, R, etc.
or unstructured data highly beneficial
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