Azure Cloud Data Engineer(Korean Bilingual)

Responsibilities

The Cloud Data Engineer is responsible for designing, implementing, and maintaining Azure-based data platforms and pipelines. They will collaborate with cross-functional teams to ensure reliable, scalable, and secure data solutions for enterprise analytics.

Requirements

Candidates should have at least 5 years of data engineering experience and 3 years of specific Azure cloud experience. Proficiency in SQL, Python, and data modeling is required, along with a bachelor's degree in a related field.

Skills

• Azure Data Factory
• Azure Data Lake Storage
• Azure SQL Database
• PostgreSQL
• ETL
• ELT
• Data Modeling
• Python
• PowerShell
• SQL
• T-SQL
• Data Warehousing
• Star Schema
• Dimensional Modeling
• Azure ExpressRoute
• CI/CD

About this role

Company Description
Salary : $105,000~$135,000/y, DOE
Work Location: Irvine, CA
Korean Bilingual Required
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.
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.
Additional Information
All your information will be kept confidential according to EEO guidelines.

About SBT Global, Inc.

IT Services and IT Consulting · 51-200 employees · headquartered in Seongnam-si, Bundang-gu, Gyeonggi-do · founded 2004