Johannesburg: Cloud Data Platform Support Engineer posted by Hire Resolve

About the Role

Hire Resolve is seeking a Cloud Data Platform Support Engineer to ensure the stability, reliability, and efficiency of our privacy-preserving data collaboration platform primarily hosted on Microsoft Azure, with plans for future expansion into other cloud environments.

Key Responsibilities

• Provide technical support for cloud-based data platforms (data warehouses, pipelines, distributed computing) and swiftly resolve production incidents including performance degradation, stability issues, and data reliability concerns.
• Perform and document root cause analysis for long-term prevention.
• Proactively monitor system health and data pipeline performance using cloud-native tools, developing dashboards, alerts, and reporting frameworks for real-time insight.
• Build and maintain automation scripts using Python, PowerShell, and Bash to reduce repetitive tasks and enhance operational efficiency.
• Suggest and implement improvements to increase platform resilience, reliability, and performance.
• Work closely with Data Engineers, Full Stack Support Engineers, Data Scientists, and client-facing teams for troubleshooting and resolution.
• Write, maintain, and share runbooks and troubleshooting guides.
• Be available for extended working hours during critical outage events.

Requirements

• Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or a closely related field.
• Certifications: Professional certifications in Microsoft Azure (Data Engineering, Administration, or Solution Architecture).
• Experience: 3+ years of hands-on experience in support engineering, cloud operations, or data engineering within a cloud environment (Microsoft Azure preferred).
• Data Platform: Strong practical experience with cloud-hosted data platforms, including data warehouses, pipeline orchestration services, and distributed compute engines.
• Analytics Platforms: Experience working with modern scalable analytics platforms such as Databricks, Spark, Azure Synapse, or Microsoft Fabric.
• Containerization: Familiarity with container orchestration and virtualization technologies like Kubernetes and Docker.
• Monitoring: Familiarity with cloud-native monitoring and observability tools.
• Automation: Ability to build and maintain automation scripts using languages like Python, PowerShell, and Bash.
• Troubleshooting: Proven ability to investigate and resolve issues using SQL/T-SQL, Python, and Spark workloads.
• Operations: Knowledge of incident management practices (escalation, resolution, and prevention) and experience upholding high standards for reliability in business-critical production systems.

Qualifications

• Formal education/certifications not specified.

Salary & Benefits

• Competitive salary based on experience (salary can potentially be more based on experience/skills).