Data Warehouse Developer | Mr Price Careers

Mr Price Careers  – Data Warehouse Developer

As a Data Warehouse Developer at Mr Price, you will play a pivotal role in designing, developing, and maintaining enterprise data warehouses to meet the group’s evolving needs. Joining the Mr Price Advance team, you’ll be at the forefront of data analytics, reporting, data science, and Robotic Process Automation (RPA) initiatives across the group.

Why Join This Team?

You’ll be immersed in projects focusing on Business Intelligence (BI) and Analytics across various data disciplines, including SQL and Big Data. Additionally, we’re undergoing a migration from on-premise solutions to cloud-based platforms, offering limitless opportunities for technical growth.

RESPONSIBILITIES:

• Build large-scale databases and perform data modeling (Data Vault 2.0 and Star Schema), management, and transformation.
• Continuously monitor, automate, and refine implemented solutions to ensure optimal performance.
• Provide analysis and resolution for business-reported concerns.
• Participate in design processes to influence the delivery of various business intelligence solutions.
• Contribute to the integration design of all data warehouse technical components.
• Design, automate, acquire, transform, and load data in a high-volume, high-availability data warehouse environment.
• Contribute to the architecture design of the data warehouse.
• Provide production support, resolving immediate issues, and maintaining database operations.
• Analyze customer information requirements and support teams in designing technical solutions.
• Implement data warehouse technical components and participate in testing processes.
• Optimize, support, and maintain the data warehouse environment.
• Collaborate in testing and validating data models throughout the development stages.

QUALIFICATIONS:

• Relevant IT Degree or Diploma.
• 3+ years of experience in data warehouse design, implementation, infrastructure components, and analytical tools.
• Proficiency in Data warehouse modeling and Structured Query Language (SQL).
• Experience in cloud data warehousing platforms.