Data Engineer - Claremont at Virgin Active South Africa

Job description

Your Duties and Responsibilities...

• Data Factory Maestro: Leverage Azure Data Factory to orchestrate and automate data workflows, ensuring seamless ETL processes.
• Databricks Developer: Utilize Databricks to perform complex data analytics, employing both Azure and Python notebooks for scalable data processing.
• PowerBI Pioneer: Transform raw data into compelling visual stories with Power BI, providing actionable insights to the business.
• Python Programmer: Use Python within Azure to manage data, automate tasks, and build machine learning models.
• Security Strategist: Apply rigorous security measures to protect data within Azure, using tools and practices that prevent unauthorized access.
• Cost Consultant: Monitor and control expenditures on Azure services, optimizing the usage of resources.
• Performance Optimizer: Ensure that all data services are finely tuned to deliver the fastest and most reliable insights.
• Cross-functional Collaborator: Align closely with stakeholders across the business to ensure that data strategies meet organizational needs.
• Innovation Engineer: Stay abreast of the latest Azure services and incorporate them into our data landscape to drive innovation.

Minimum requirements

Our Minimum Requirements...

We can't live without...

• Azure Proficiency: A solid 5 years of experience with Azure Data Factory, Databricks, and Power BI.
• Technical Education: A degree in Computer Science, IT, or a related field with a strong analytical focus.
• Python Expertise: Proficiency in Python, particularly in the context of data manipulation and notebook-based analytics.
• Data Security Knowledge: A thorough understanding of cloud data security protocols and best practices.
• Performance Focus: Experience in optimizing cloud-based data platforms for high performance and reliability.
• Team Integration: A history of successful collaboration with IT and business units.
• Certified Skill Set: Azure certifications, especially those related to data engineering, are preferable.