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Lead Cloud Data Engineer
Hays
Dubai, UAE
Full-time
Mid-Senior
Onsite
Discovered Today
Cloud data engineeringPySparkApache Spark distributed computingAzure DatabricksMicrosoft AzureData pipeline design
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Cloud data engineeringPySparkApache Spark distributed computing
Role Overview
Serve as a lead technical expert for enterprise-scale cloud data engineering and transformation workloads.
Architect, build, and deploy high-throughput data warehouse solutions with cloud-native monitoring and self-healing automation.
Key Skills for This Role
Cloud data engineeringPySparkApache Spark distributed computingAzure DatabricksMicrosoft AzureData pipeline design
Full Job Posting
Your New Role
Serve as a lead technical expert for enterprise-scale cloud data engineering and transformation workloads.
Architect, build, and deploy high-throughput data warehouse solutions with cloud-native monitoring and self-healing automation.
Key Responsibilities
- Develop and deploy robust PySpark workloads across Spark distributed computing environments.
- Design end-to-end data pipelines and enterprise data warehouse solutions using Azure Databricks.
- Implement cloud-native platform monitoring and automated self-healing mechanisms for high availability and proactive issue resolution.
- Collaborate with stakeholders to align data architecture with business and digital transformation strategies.
Experience and Qualifications
- At least 10 years of overall IT experience with strong specialization in cloud data platforms.
- 5–7 years of dedicated experience in data engineering and cloud data transformation.
- At least 3 years of deep expertise in Azure data engineering and Databricks.
- Advanced proficiency in PySpark and production workloads on Spark distributed computing environments.
- Proven experience developing and supporting enterprise-level data warehouse workloads.
- Experience with Microsoft Azure deployment, cloud-native monitoring, and self-healing automation.
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