Azure Cloud Data Engineer(Korean Bilingual)

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

Job summary

SBT Global, Inc. is seeking a Cloud Data Engineer in Irvine, CA to design, implement, and manage Azure-based data platforms supporting enterprise reporting and analytics.

You will work with business analysts, Power BI developers, DBAs, and infrastructure teams to ensure reliable, scalable data solutions. Responsibilities include ETL/ELT pipeline development, data warehousing, data modeling, and automation of data processes.

Qualifications

• SQL, Data modeling, ETL/ELT, Data warehousing
• Star Schema / Dimensional Modeling
• Experience with Azure Cloud platforms (3+ years)
• Experience with Power BI environments
• Experience migrating on-premises systems to Azure

Responsibilities

• Design, build, and maintain ETL/ELT pipelines and data flows.
• Develop and optimize data storage solutions including data warehouses and data lakes.
• Collaborate with analysts and BI developers and DBAs to ensure secure, scalable data platforms.
• Implement automated batch and real-time data integration processes.
• Configure networking, security, and access controls for data platforms.

Skills

SQL

Data Modeling

ETL/ELT

Data Warehousing

Star Schema

Dimensional Modeling

Azure Cloud

Power BI

Education

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

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.

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