Azure Cloud Data Engineer(Korean Bilingual)
SBT Global, Inc. Open · verified Oct 24, 2026 At a glance
Mid-level Data Engineering role at SBT Global, Inc. Irvine · contract · $105,000–$135,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain ETL/ELT pipelines, including automated batch and near-real-time flows that connect on-premises and cloud data
- Shape data warehouses and lakes, create logical and physical models, and tune schemas, indexes, and partitions
- Administer Azure Data Factory, Data Lake Storage, Azure databases, ExpressRoute, networking, access controls, and monitoring
- Tune and protect databases through query optimization, backups, recovery planning, replication, and failover setup
- Automate operational tasks and monitoring, support CI/CD releases, and resolve production issues for business and development teams
What you bring
- Korean fluency is required for this role
- At least five years in data engineering and three years working with Azure cloud
- Hands-on experience with SQL, data modeling, ETL/ELT, data warehousing, Python, PowerShell, and either T-SQL or PostgreSQL
Who this fits
This role suits a mid-level data engineer who can work across Azure data platforms, database operations, and production support. The position is based onsite in Irvine and is offered as a contract.
From the employer
Salary : $105,000~$135,000/y, DOE
Work Location: Irvine, CA
**Korean Bilingual Required**
The 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.
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.
All your information will be kept confidential according to EEO guidelines.
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