Data Warehouse Developer Mr Price Group at Mr Price Group

Job Description

• Our new Data Warehouse Developer will be responsible for designing, developing, and maintaining enterprise data warehouse to meet the group’s needs.
• You would be part of the Mr Price Advance team which looks after data analytics, reporting, data science and RPA across the group

Why you should join this team?

• You’ll be involved in projects involving BI and Analytics across multiple data disciplines: SQL and Big Data.
• We’re 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!

Responsibilities

• Building large scale databases
• Data modelling (Data Vault 2.0 and Star Schema), data management, and data transformation
• Perform ongoing monitoring, automation and refinement of implemented solutions.
• Provide analysis and issue resolution on business reported concerns.
• Participate in design to influence delivery of various business intelligence solutions.
• Contributes to the designs and plans for the integration for all data warehouse technical components.
• Contributes to the design, automation, and acquisition, transformation and data loading processes in a high volume, high availability data warehouse environment
• Contributes to the design of the data warehouse architecture
• Provides production support to solve immediate problems and keeps databases in production
• Analyses information requirements of customers and supports teams and contributes to the design of the best technical solutions
• Technical implementation of the data warehouse
• Participates in testing of the data design, tool design, data extracts
• Optimisation, support and maintenance of the data warehouse environment
• Participates in testing and validation of the data model throughout the various stages of the development process.

Qualifications

• Relevant IT Degree or Diploma 
• 3+ years’ experience in:
• Data warehouse design and implementation, infrastructure components and analytical tools.
• Data warehouse modelling
• Structured Query Language (SQL)
• Experience in Snowflake data warehousing
• Troubleshooting