Cloud Data Platform Support Engineer
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Job Location:
Johannesburg - South Africa
Monthly Salary:
Not Disclosed
Posted on:
04-11-2025
Vacancies:
1 Vacancy
Job Summary
Description
Responsibilities:
Incident and Support: 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.
Root Cause Analysis (RCA): Perform and document root cause analysis for long-term prevention.
Monitoring and Observability: Proactively monitor system health and data pipeline performance using cloud-native tools developing dashboards alerts and reporting frameworks for real-time insight.
Automation: Build and maintain automation scripts using Python PowerShell and Bash to reduce repetitive tasks and enhance operational efficiency.
Platform Improvement: Suggest and implement improvements to increase platform resilience reliability and performance.
Collaboration: Work closely with Data Engineers Full Stack Support Engineers Data Scientists and client-facing teams for troubleshooting and resolution.
Knowledge Base: Write maintain and share runbooks and troubleshooting guides.
On-Call: Be available for extended working hours during critical outage events.
Minimum Requirements:
Education: Bachelors 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 (implied by the job responsibilities).
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.
Benefits:
- Competitive salary based on experience (salary can potentially be more based on experience/skills)
IF you meet the above requirements and want to make a career-changing move apply today by emailing your CV to
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Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Hire Resolve connects Job seekers to Employers. The company is a Specialist Recruitment & Staffing company with a national presence with a customer base of listed companies on the JSE and global multinationals. The company prides itself on its technical & industry knowledge. The cons ... View more
