10607 – Software Engineer III

Hyundai Autoever America•Irvine, CA

About The Position

Hyundai AutoEver America (HAEA) is the dynamic IT powerhouse behind Hyundai Motor Corporation, a Fortune 500 global leader in the automotive industry. As a key affiliate, we provide cutting-edge IT services and support to top brands including Kia, Genesis, Hyundai Translead, Hyundai Mobis, Hyundai Capital, and Glovis. HAEA offers a truly global and collaborative environment. Here, you’ll drive innovation, boost operational efficiency, and help shape the future of mobility for the Hyundai Motor Group. At HAEA, we understand that IT is the cornerstone of today’s fast-evolving digital world. By uniting all IT resources under one roof, we deliver consistent, top-quality solutions while serving as the crucial information link between Hyundai’s Global Headquarters and North American operations. We are seeking a motivated and detail-oriented Data Engineer to join our data engineering team. The role focuses on developing workflow automation using Apache Airflow and building scalable data pipelines. You will collaborate with data scientists, analysts, and engineering teams to ensure seamless data integration and optimize data-driven processes.

Requirements

Bachelor’s degree in Computer Science, Information Technology, or related field.
10+ years of experience in data warehouse and MDM applications.
Extensive knowledge of SQL and relational databases.
Strong programming skills in Python and PL/SQL.
10+ years of experience working with Informatica.
Knowledge of big data technologies such as Apache Spark, Hadoop, or equivalent cloud-based services.
Strong understanding of data governance, security, and quality practices in cloud environments.

Responsibilities

Design, build, and maintain scalable data pipelines and ETL processes to transform and integrate data from multiple sources.
Develop workflow automation using Apache Airflow and manage production batches with performance tuning.
Create and optimize data models, schemas, and database structures for scalability and efficiency.
Implement best practices in data warehouse and MDM applications, ensuring data governance, security, and quality.
Collaborate with data scientists, analysts, and business stakeholders to translate requirements into technical solutions.
Develop scripts and automation tools to streamline data processing and pipeline operations.
Implement automated monitoring, alerting systems, and maintain documentation for pipelines and data models.
Create reports and visualizations to communicate pipeline performance and data insights.