• Provide technical support for cloud-based data platforms currently hosted in Microsoft Azure, including data warehouses, data pipelines, distributed computing frameworks, and related services.
• Respond to and resolve production incidents including performance issues, system stability challenges, and data reliability concerns.
• Perform root cause analysis of production issues and provide clear documentation for resolution and long-term prevention.
• Collaborate with Data Engineers, Full Stack Support Engineers, Data Scientists, and Client Facing technical troubleshooting and incident resolution.
• Proactively monitor system health and data pipeline performance using cloud-native monitoring and observability tools.
• Build and maintain automation scripts using programming and scripting languages such as Python, PowerShell, and Bash to reduce repetitive tasks and improve operational efficiency.
• Develop dashboards, alerts, and reporting frameworks to provide real-time insight into platform health and performance.
• Suggest and once approved, implement improvements that increase resilience, reliability, and performance.
• Participate in structured incident review sessions, sharing lessons learned and contributing to continuous improvement.
• Write, maintain, and share runbooks and troubleshooting guides as part of a knowledge base for faster issue resolution.
• Be available on occasion for extended working hours during critical outage events or high-priority incidents.
• Stay up to date with new technologies in Microsoft Azure and broader cloud ecosystems, including Kubernetes, Databricks, Fabric, distributed data processing frameworks, and cloud-native data services.

• Bachelors degree in computer science, Information Systems, Engineering, or a closely related field.

• At least three years of hands-on experience in support engineering, cloud operations, or data engineering within a cloud environment (Microsoft Azure preferred).
• Strong practical experience with cloud-hosted data platforms such as enterprise data warehouses, pipeline orchestration services, and distributed compute engines.
• Ability to investigate, troubleshoot, and resolve issues with Structured Query Language (SQL), Transact-SQL, Python, and Spark workloads.
• Knowledge of incident management practices, including escalation, resolution, and prevention methods.
• Familiarity with cloud-native monitoring and observability tools.
• Proven ability to manage business-critical production systems while upholding high standards of reliability and data quality.
• Excellent communication skills, with the ability to explain technical challenges and solutions to both technical and non-technical audiences.

• Professional certifications in cloud data engineering, cloud administration, or cloud solution architecture (Microsoft Azure preferred).
• Familiarity with container orchestration and virtualization technologies such as Kubernetes and Docker.
• Experience working with modern scalable analytics platforms such as Databricks, Spark, Azure Synapse, or Microsoft Fabric.
• Knowledge of multiple cloud platforms (Amazon Web Services or Google Cloud Platform) is advantageous.
• Experience with automated deployment pipelines, infrastructure as code, and continuous integration/continuous delivery practices.

Contact Hire Resolve for your next career-changing move.
Our client is offering a highly competitive salary for this role based on experience.
Apply for this role today, contact Gaby Turner at *****@*****.co.za  or on LinkedIn
You can also visit the Hire Resolve website: hireresolve.us or email us your CV:*****@*****.co.za 

• Provide technical support for cloud-based data platforms currently hosted in Microsoft Azure, including data warehouses, data pipelines, distributed computing frameworks, and related services.
• Respond to and resolve production incidents including performance issues, system stability challenges, and data reliability concerns.
• Perform root cause analysis of production issues and provide clear documentation for resolution and long-term prevention.
• Collaborate with Data Engineers, Full Stack Support Engineers, Data Scientists, and Client Facing technical troubleshooting and incident resolution.
• Proactively monitor system health and data pipeline performance using cloud-native monitoring and observability tools.
• Build and maintain automation scripts using programming and scripting languages such as Python, PowerShell, and Bash to reduce repetitive tasks and improve operational efficiency.
• Develop dashboards, alerts, and reporting frameworks to provide real-time insight into platform health and performance.
• Suggest and once approved, implement improvements that increase resilience, reliability, and performance.
• Participate in structured incident review sessions, sharing lessons learned and contributing to continuous improvement.
• Write, maintain, and share runbooks and troubleshooting guides as part of a knowledge base for faster issue resolution.
• Be available on occasion for extended working hours during critical outage events or high-priority incidents.
• Stay up to date with new technologies in Microsoft Azure and broader cloud ecosystems, including Kubernetes, Databricks, Fabric, distributed data processing frameworks, and cloud-native data services.

• Bachelors degree in computer science, Information Systems, Engineering, or a closely related field.

• At least three years of hands-on experience in support engineering, cloud operations, or data engineering within a cloud environment (Microsoft Azure preferred).
• Strong practical experience with cloud-hosted data platforms such as enterprise data warehouses, pipeline orchestration services, and distributed compute engines.
• Ability to investigate, troubleshoot, and resolve issues with Structured Query Language (SQL), Transact-SQL, Python, and Spark workloads.
• Knowledge of incident management practices, including escalation, resolution, and prevention methods.
• Familiarity with cloud-native monitoring and observability tools.
• Proven ability to manage business-critical production systems while upholding high standards of reliability and data quality.
• Excellent communication skills, with the ability to explain technical challenges and solutions to both technical and non-technical audiences.

• Professional certifications in cloud data engineering, cloud administration, or cloud solution architecture (Microsoft Azure preferred).
• Familiarity with container orchestration and virtualization technologies such as Kubernetes and Docker.
• Experience working with modern scalable analytics platforms such as Databricks, Spark, Azure Synapse, or Microsoft Fabric.
• Knowledge of multiple cloud platforms (Amazon Web Services or Google Cloud Platform) is advantageous.
• Experience with automated deployment pipelines, infrastructure as code, and continuous integration/continuous delivery practices.

Contact Hire Resolve for your next career-changing move.
Our client is offering a highly competitive salary for this role based on experience.
Apply for this role today, contact Gaby Turner at *****@*****.co.za  or on LinkedIn
You can also visit the Hire Resolve website: hireresolve.us or email us your CV:*****@*****.co.za 

• Provide technical support for cloud-based data platforms currently hosted in Microsoft Azure, including data warehouses, data pipelines, distributed computing frameworks, and related services.
• Respond to and resolve production incidents including performance issues, system stability challenges, and data reliability concerns.
• Perform root cause analysis of production issues and provide clear documentation for resolution and long-term prevention.
• Collaborate with Data Engineers, Full Stack Support Engineers, Data Scientists, and Client Facing technical troubleshooting and incident resolution.
• Proactively monitor system health and data pipeline performance using cloud-native monitoring and observability tools.
• Build and maintain automation scripts using programming and scripting languages such as Python, PowerShell, and Bash to reduce repetitive tasks and improve operational efficiency.
• Develop dashboards, alerts, and reporting frameworks to provide real-time insight into platform health and performance.
• Suggest and once approved, implement improvements that increase resilience, reliability, and performance.
• Participate in structured incident review sessions, sharing lessons learned and contributing to continuous improvement.
• Write, maintain, and share runbooks and troubleshooting guides as part of a knowledge base for faster issue resolution.
• Be available on occasion for extended working hours during critical outage events or high-priority incidents.
• Stay up to date with new technologies in Microsoft Azure and broader cloud ecosystems, including Kubernetes, Databricks, Fabric, distributed data processing frameworks, and cloud-native data services.

• Bachelors degree in computer science, Information Systems, Engineering, or a closely related field.

• At least three years of hands-on experience in support engineering, cloud operations, or data engineering within a cloud environment (Microsoft Azure preferred).
• Strong practical experience with cloud-hosted data platforms such as enterprise data warehouses, pipeline orchestration services, and distributed compute engines.
• Ability to investigate, troubleshoot, and resolve issues with Structured Query Language (SQL), Transact-SQL, Python, and Spark workloads.
• Knowledge of incident management practices, including escalation, resolution, and prevention methods.
• Familiarity with cloud-native monitoring and observability tools.
• Proven ability to manage business-critical production systems while upholding high standards of reliability and data quality.
• Excellent communication skills, with the ability to explain technical challenges and solutions to both technical and non-technical audiences.

• Professional certifications in cloud data engineering, cloud administration, or cloud solution architecture (Microsoft Azure preferred).
• Familiarity with container orchestration and virtualization technologies such as Kubernetes and Docker.
• Experience working with modern scalable analytics platforms such as Databricks, Spark, Azure Synapse, or Microsoft Fabric.
• Knowledge of multiple cloud platforms (Amazon Web Services or Google Cloud Platform) is advantageous.
• Experience with automated deployment pipelines, infrastructure as code, and continuous integration/continuous delivery practices.

Contact Hire Resolve for your next career-changing move.
Our client is offering a highly competitive salary for this role based on experience.
Apply for this role today, contact Gaby Turner at *****@*****.co.za  or on LinkedIn
You can also visit the Hire Resolve website: hireresolve.us or email us your CV:*****@*****.co.za 

• Provide technical support for cloud-based data platforms currently hosted in Microsoft Azure, including data warehouses, data pipelines, distributed computing frameworks, and related services.
• Respond to and resolve production incidents including performance issues, system stability challenges, and data reliability concerns.
• Perform root cause analysis of production issues and provide clear documentation for resolution and long-term prevention.
• Collaborate with Data Engineers, Full Stack Support Engineers, Data Scientists, and Client Facing technical troubleshooting and incident resolution.
• Proactively monitor system health and data pipeline performance using cloud-native monitoring and observability tools.
• Build and maintain automation scripts using programming and scripting languages such as Python, PowerShell, and Bash to reduce repetitive tasks and improve operational efficiency.
• Develop dashboards, alerts, and reporting frameworks to provide real-time insight into platform health and performance.
• Suggest and once approved, implement improvements that increase resilience, reliability, and performance.
• Participate in structured incident review sessions, sharing lessons learned and contributing to continuous improvement.
• Write, maintain, and share runbooks and troubleshooting guides as part of a knowledge base for faster issue resolution.
• Be available on occasion for extended working hours during critical outage events or high-priority incidents.
• Stay up to date with new technologies in Microsoft Azure and broader cloud ecosystems, including Kubernetes, Databricks, Fabric, distributed data processing frameworks, and cloud-native data services.

• Bachelors degree in computer science, Information Systems, Engineering, or a closely related field.

• At least three years of hands-on experience in support engineering, cloud operations, or data engineering within a cloud environment (Microsoft Azure preferred).
• Strong practical experience with cloud-hosted data platforms such as enterprise data warehouses, pipeline orchestration services, and distributed compute engines.
• Ability to investigate, troubleshoot, and resolve issues with Structured Query Language (SQL), Transact-SQL, Python, and Spark workloads.
• Knowledge of incident management practices, including escalation, resolution, and prevention methods.
• Familiarity with cloud-native monitoring and observability tools.
• Proven ability to manage business-critical production systems while upholding high standards of reliability and data quality.
• Excellent communication skills, with the ability to explain technical challenges and solutions to both technical and non-technical audiences.

• Professional certifications in cloud data engineering, cloud administration, or cloud solution architecture (Microsoft Azure preferred).
• Familiarity with container orchestration and virtualization technologies such as Kubernetes and Docker.
• Experience working with modern scalable analytics platforms such as Databricks, Spark, Azure Synapse, or Microsoft Fabric.
• Knowledge of multiple cloud platforms (Amazon Web Services or Google Cloud Platform) is advantageous.
• Experience with automated deployment pipelines, infrastructure as code, and continuous integration/continuous delivery practices.

Contact Hire Resolve for your next career-changing move.
Our client is offering a highly competitive salary for this role based on experience.
Apply for this role today, contact Gaby Turner at *****@*****.co.za  or on LinkedIn
You can also visit the Hire Resolve website: hireresolve.us or email us your CV:*****@*****.co.za 

• Provide technical support for cloud-based data platforms currently hosted in Microsoft Azure, including data warehouses, data pipelines, distributed computing frameworks, and related services.
• Respond to and resolve production incidents including performance issues, system stability challenges, and data reliability concerns.
• Perform root cause analysis of production issues and provide clear documentation for resolution and long-term prevention.
• Collaborate with Data Engineers, Full Stack Support Engineers, Data Scientists, and Client Facing technical troubleshooting and incident resolution.
• Proactively monitor system health and data pipeline performance using cloud-native monitoring and observability tools.
• Build and maintain automation scripts using programming and scripting languages such as Python, PowerShell, and Bash to reduce repetitive tasks and improve operational efficiency.
• Develop dashboards, alerts, and reporting frameworks to provide real-time insight into platform health and performance.
• Suggest and once approved, implement improvements that increase resilience, reliability, and performance.
• Participate in structured incident review sessions, sharing lessons learned and contributing to continuous improvement.
• Write, maintain, and share runbooks and troubleshooting guides as part of a knowledge base for faster issue resolution.
• Be available on occasion for extended working hours during critical outage events or high-priority incidents.
• Stay up to date with new technologies in Microsoft Azure and broader cloud ecosystems, including Kubernetes, Databricks, Fabric, distributed data processing frameworks, and cloud-native data services.

• Bachelors degree in computer science, Information Systems, Engineering, or a closely related field.

• At least three years of hands-on experience in support engineering, cloud operations, or data engineering within a cloud environment (Microsoft Azure preferred).
• Strong practical experience with cloud-hosted data platforms such as enterprise data warehouses, pipeline orchestration services, and distributed compute engines.
• Ability to investigate, troubleshoot, and resolve issues with Structured Query Language (SQL), Transact-SQL, Python, and Spark workloads.
• Knowledge of incident management practices, including escalation, resolution, and prevention methods.
• Familiarity with cloud-native monitoring and observability tools.
• Proven ability to manage business-critical production systems while upholding high standards of reliability and data quality.
• Excellent communication skills, with the ability to explain technical challenges and solutions to both technical and non-technical audiences.

• Professional certifications in cloud data engineering, cloud administration, or cloud solution architecture (Microsoft Azure preferred).
• Familiarity with container orchestration and virtualization technologies such as Kubernetes and Docker.
• Experience working with modern scalable analytics platforms such as Databricks, Spark, Azure Synapse, or Microsoft Fabric.
• Knowledge of multiple cloud platforms (Amazon Web Services or Google Cloud Platform) is advantageous.
• Experience with automated deployment pipelines, infrastructure as code, and continuous integration/continuous delivery practices.

Contact Hire Resolve for your next career-changing move.
Our client is offering a highly competitive salary for this role based on experience.
Apply for this role today, contact Gaby Turner at *****@*****.co.za  or on LinkedIn
You can also visit the Hire Resolve website: hireresolve.us or email us your CV:*****@*****.co.za