Salary : $105,000~$135,000/y, DOE
Work Location: Irvine, CA
**Korean Bilingual Required**Job DescriptionThe Cloud Data Engineer is responsible for designing, implementing, maintaining, and securing Azure-based data platforms. This role builds and manages data pipelines, data storage solutions, data processing frameworks, and cloud infrastructure to support enterprise reporting, analytics, and business intelligence initiatives.
The engineer will work closely with business analysts, Power BI developers, DBAs, and infrastructure teams to ensure reliable, scalable, and secure data solutions.
Data Pipeline Development• Design, develop, and maintain ETL/ELT pipelines.
• Build automated batch and near real-time data integration processes.
• Integrate data from on-premises and cloud systems.
• Troubleshoot and optimize data workflows.
Data Storage & Modeling• Design and maintain data warehouse and data lake architectures.
• Develop logical and physical data models.
• Optimize database schemas, indexes, and partitioning strategies.
• Support historical data retention and archival requirements.
Azure Platform Administration• Manage and support:
- Azure Data Factory (ADF)
- Azure Data Lake Storage (ADLS)
- Azure SQL Database / Azure PostgreSQL
- Azure ExpressRoute
- Gateway Servers
- Monitoring & Logging Solutions
• Configure networking, security groups, and access controls.
Database Administration• Database installation and configuration.
• Performance tuning and query optimization.
• Monitoring and maintenance.
• Backup and recovery management.
• High Availability (HA) and disaster recovery planning.
• Replication and failover configuration.
Infrastructure & Automation• Develop scripts and automation for operational tasks.
• Support CI/CD deployment processes.
• Automate monitoring, alerting, and maintenance activities.
Monitoring & Support• Monitor platform availability and performance.
• Resolve production incidents and root causes.
• Maintain SLA and operational standards.
• Provide technical support to business and development teams.
• Complete tasks assigned by management.
Qualifications Azure Services- Azure Data Factory (ADF)
- Azure Data Lake Storage Gen2
- Azure SQL Database
- Azure Database for PostgreSQL
- Azure ExpressRoute
- Azure Virtual Networks
Data Technologies- SQL, Data Modeling, ETL / ELT, Data Warehousing
- Star Schema / Dimensional Modeling
Scripting & Programming- Python, PowerShell, SQL T-SQL / PostgreSQL
Preferred Qualifications• Bachelor's degree in Computer Science, Information Systems, or related field.
• 5+ years of Data Engineering experience.
• 3+ years of Azure Cloud experience.
• Experience with Power BI environments.
• Experience migrating on-premises systems to Azure.
