Data Warehouse Developer Mr Price Group
Mr Price Group · Durban, KwaZulu-Natal
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- 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