10717 - Sr. Software Engineer, Big Data
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. If you’re passionate about technology and eager to make a real impact at a world-class company, Hyundai AutoEver America is the place to grow your career. Join us and be part of the transformation that’s driving the future of automotive innovation. Role Overview: Design, build, and maintain scalable data platforms, pipelines, and data lakes to enable large-scale data processing and analysis. Collaborate with data scientists and stakeholders to ensure proper data collection, storage, and security, troubleshoot infrastructure issues, and optimize systems for scalability and efficiency.
Requirements
- Education: Bachelor’s degree in computer science or related field (or equivalent).
- Experience: 10+ years in IT application support and 7+ years as a Big Data Engineer.
- Big Data Expertise: Hadoop, Spark, Spark Streaming, Trino, Flink, Hive, Pig, Kafka, NoSQL (MongoDB, Cassandra, HBase).
- Programming & Modeling: Proficiency in Java, Python, Scala, SQL; strong data modeling and ETL experience.
- Cloud & Security: Familiarity with AWS/Azure/GCP; knowledge of data security principles and implementation.
- Performance & Analytics: Experience with performance tuning, data warehousing, and ML/analytics integration in Big Data systems.
Responsibilities
- Build and maintain scalable data pipelines and robust data models for AI/ML from structured and unstructured sources.
- Develop Big Data pipelines using orchestration tools (Airflow/Oozie) and implement access management, monitoring, and self-service ETL/analytics solutions.
- Write data pipelines using Spark, Python, and Scala; develop frameworks/utilities in Python; and follow DevOps best practices.
- Advanced SQL skills with ability to query and transform large structured/unstructured datasets using Spark/PySpark, Spark SQL/Hive, Hive/NoSQL; hands-on experience with On-Prem Big Data platforms, distributed frameworks like YARN, and proficiency in building data pipelines using Spark, Python, and Scala.
- Diagnose software issues, optimize performance, and support BI tools (Tableau, Power BI, MicroStrategy) for Big Data.
- Lead and guide team members, adapt to new technologies, and work independently or collaboratively to achieve goals.
Benefits
- In addition to a competitive salary, this position offers a fantastic benefits package that includes comprehensive medical/dental coverage, generous PTO, education assistance, and annual merit increase eligibility in a growth-focused work environment.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
51-100 employees
