Job Description<\/p>\n
\tOur new Data Warehouse Developer will be responsible for designing, developing, and maintaining enterprise data warehouse to meet the group\u2019s needs.
\n\tYou would be part of the Mr Price Advance team which looks after data analytics, reporting, data science and RPA across the group
\n\tWhy you should join this team?
\n\tYou\u2019ll be involved in projects involving BI and Analytics across multiple data disciplines: SQL and Big Data.
\n\tWe\u2019re also in the process of migrating the current data warehouses and reporting from on premise solutions to the cloud which means the opportunities for technical growth are endless!<\/p>\n
Responsibilities<\/p>\n
\tBuilding large scale databases
\n\tData modelling (Data Vault 2.0 and Star Schema), data management, and data transformation
\n\tPerform ongoing monitoring, automation and refinement of implemented solutions.
\n\tProvide analysis and issue resolution on business reported concerns.
\n\tParticipate in design to influence delivery of various business intelligence solutions.
\n\tContributes to the designs and plans for the integration for all data warehouse technical components.
\n\tContributes to the design, automation, and acquisition, transformation and data loading processes in a high volume, high availability data warehouse environment
\n\tContributes to the design of the data warehouse architecture
\n\tProvides production support to solve immediate problems and keeps databases in production
\n\tAnalyses information requirements of customers and supports teams and contributes to the design of the best technical solutions
\n\tTechnical implementation of the data warehouse
\n\tParticipates in testing of the data design, tool design, data extracts
\n\tOptimisation, support and maintenance of the data warehouse environment<\/p>\n
Qualifications<\/p>\n
\tRelevant IT Degree or Diploma\u00a0
\n\t3+ years\u2019 experience in:
\n\tData warehouse design and implementation, infrastructure components and analytical tools.
\n\tData warehouse modelling
\n\tStructured Query Language (SQL)
\n\tExperience in Snowflake data warehousing
\n\tTroubleshooting<\/p>\n
go to method of application \u00bb<\/p>\n
Apply via company website ( ) or<\/p>\n
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