Azure Cloud Data Engineer(Korean Bilingual)

Sbt Global; Irvine (CA); On-site; USD 105,000 - 135,000; Full time

Job summary

SBT Global is seeking a Cloud Data Engineer in Irvine, CA to design, implement, and secure Azure-based data platforms for enterprise reporting and analytics. You will build and maintain ETL/ELT pipelines, data warehouses, and data lake architectures, and collaborate with analysts, Power BI developers, DBAs, and infrastructure teams.

You will optimize data workflows, ensure data quality, implement security controls, and support CI/CD for data solutions while maintaining SLAs and supporting

Qualifications

• 5+ years of Data Engineering experience.
• 3+ 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.
• Design and maintain data warehouse and data lake architectures.
• Develop logical and physical data models.
• Optimize database schemas, indexes, and partitioning strategies.
• Monitor platform availability and performance.
• Provide technical support to business and development teams.

Skills

SQL

Data Modeling

ETL/ELT

Data Warehousing

Dimensional Modeling

Power BI

Education

Bachelor's degree in Computer Science, Information Systems, or related field

Tools

Azure

Power BI

Job description

• Contract

Company Description

Salary : $105,000~$135,000/y, DOE

Work Location: Irvine, CA

Job Description

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.

• 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.

Manage and support:

• 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

Data Technologies

• SQL, Data Modeling, ETL / ELT, Data Warehousing
• Star Schema / Dimensional Modeling

Scripting & Programming

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.

Additional Information

All your information will be kept confidential according to EEO guidelines.