Azure Cloud Data Engineer(Korean Bilingual)
About The Position
The Cloud Data Engineer designs, implements, maintains, and secures Azure-based data platforms. The role builds and manages data pipelines, data storage solutions, data processing frameworks, and cloud infrastructure supporting enterprise reporting, analytics, and business intelligence initiatives. The engineer works closely with business analysts, Power BI developers, DBAs, and infrastructure teams to deliver reliable, scalable, and secure data solutions. Korean bilingual ability is required. Responsibilities span data pipeline development, storage and modeling, Azure platform administration, database administration, infrastructure automation, monitoring, and support. The position is based in Irvine, California. The listed salary is $105,000–$135,000 per year, depending on experience.
Requirements
- Korean bilingual ability is required.
- Knowledge of Azure Data Factory (ADF).
- Knowledge of Azure Data Lake Storage Gen2.
- Knowledge of Azure SQL Database.
- Knowledge of Azure Database for PostgreSQL.
- Knowledge of Azure ExpressRoute.
- Knowledge of Azure Virtual Networks.
- Knowledge of SQL, data modeling, ETL/ELT, and data warehousing.
- Knowledge of star schema and dimensional modeling.
- Scripting and programming skills in Python, PowerShell, and SQL, including T-SQL/PostgreSQL.
Nice To Haves
- Bachelor's degree in Computer Science, Information Systems, or a related field.
- 5 or more years of Data Engineering experience.
- 3 or more years of Azure Cloud experience.
- Experience with Power BI environments.
- Experience migrating on-premises systems to Azure.
Responsibilities
- 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.
- 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.
- Manage and support Azure Data Factory, Azure Data Lake Storage, Azure SQL Database/Azure PostgreSQL, Azure ExpressRoute, gateway servers, and monitoring and logging solutions.
- Configure networking, security groups, and access controls.
- Install and configure databases.
- Perform database performance tuning and query optimization.
- Monitor and maintain databases.
- Manage database backup and recovery.
- Plan for high availability and disaster recovery.
- Configure replication and failover.
- Develop scripts and automation for operational tasks.
- Support CI/CD deployment processes.
- Automate monitoring, alerting, and maintenance activities.
- Monitor platform availability and performance.
- Resolve production incidents and identify root causes.
- Maintain SLA and operational standards.
- Provide technical support to business and development teams.
- Complete tasks assigned by management.
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What This Job Offers
Job Type
Full-time
Education Level
No Education Listed
