Cloud Data Engineer III — Azure ETL & Data Warehouse

Hyundai MOBIS; Fountain Valley (CA); On-site; USD 90,000 - 134,000; Full time

Benefits offered by this job

Medical, Dental, and Vision

401K with employer matching

Tuition Reimbursement

Paid Vacation, Sick Days and Holidays

Career development

Job summary

Hyundai MOBIS Parts America is seeking a Data Engineer III, Cloud to design, implement, and secure Azure-based data platforms, build ETL/ELT pipelines, and manage data storage and processing for enterprise reporting.

The role involves collaborating with business analysts, Power BI developers, DBAs, and infrastructure teams to ensure reliable, scalable data solutions and support BI initiatives.

Qualifications

• 4 - 7 years of data engineering experience
• 3 - 5 years of Azure cloud experience
• Experience with Power BI environments
• Experience migrating on-premises systems to Azure
• Bachelor's Degree in Computer Science, Information Systems, or related field

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.

Skills

Power BI

Azure cloud

Python

SQL

PowerShell

Education

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

Tools

Azure Data Factory

Azure Data Lake Storage Gen2

Azure SQL Database

Azure PostgreSQL

Azure ExpressRoute

Azure Virtual Networks

Job description

Hyundai MOBIS Parts America is seeking a Data Engineer III, Cloud to design, implement, and secure Azure-based data platforms, build ETL/ELT pipelines, and manage data storage and processing for enterprise reporting.

The role involves collaborating with business analysts, Power BI developers, DBAs, and infrastructure teams to ensure reliable, scalable data solutions and support BI initiatives.