Azure Cloud Data Engineer III — ETL & Analytics

Hyundai MOBIS

Fountain Valley (CA)

On-site

USD 90,000 - 134,000

Full time

4 days ago
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Job summary

Hyundai MOBIS Parts America is seeking a Data Engineer III, Cloud to design, build, and maintain Azure-based data platforms. This role focuses on data pipelines, storage, processing frameworks, and cloud infrastructure to enable enterprise reporting, analytics, and BI initiatives.

You will collaborate with business analysts, Power BI developers, DBAs, and infrastructure teams to ensure reliable, scalable, and secure data solutions across on-prem and cloud sources.

Qualifications

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

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.
  • Design and maintain data warehouse and data lake architectures.
  • Develop scripts and automation for operational tasks.
  • Monitor platform availability and performance.

Skills

Power BI environments
Azure cloud experience
Data migration to Azure

Education

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

Tools

Azure Data Factory (ADF)
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, build, and maintain Azure-based data platforms. This role focuses on data pipelines, storage, processing frameworks, and cloud infrastructure to enable enterprise reporting, analytics, and BI initiatives.

You will collaborate with business analysts, Power BI developers, DBAs, and infrastructure teams to ensure reliable, scalable, and secure data solutions across on-prem and cloud sources.

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