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Sr. Data Engineer

Sr. Data Engineer

Hyundai Capital AmericaIrvine, CA, United States
2 days ago
Job type
  • Full-time
Job description

Who We Are

Through our service brands Hyundai Motor Finance, Genesis Finance, and Kia Finance, Hyundai Capital America offers a wide range of financial products tailored to meet the needs of Hyundai, Genesis, and Kia customers and dealerships.  We provide vehicle financing, leasing, subscription, and insurance solutions to over 2 million consumers and businesses. Embodying our commitment to grow, innovate, and diversify, we strive to reimagine the customer and dealer experience and launch innovative new products that broaden our market reach. We believe that success comes from within and are proud to support our team members through skill development and career advancement. Hyundai Capital America is an Equal Opportunity Employer committed to creating a diverse and inclusive culture for our workforce. We are a values-driven company dedicated to supporting both internal and external communities through volunteering, philanthropy, and the empowerment of our Employee Resource Groups. Together, we strive to be the leader in financing freedom of movement.

We Take Care of Our People

Along with competitive pay, as an employee of HCA, you are eligible for the following benefits :

  • Medical, Dental and Vision plans that include no-cost and low-cost plan options
  • Immediate 401(k) matching and vesting
  • Vehicle purchase and lease discounts plus monthly vehicle allowances
  • Paid Volunteer Time Off with company donation to a charity of your choice
  • Tuition reimbursement

What to Expect

The Sr. Data Engineer is responsible for partnering with business and technology stakeholders to understand data needs and deliver high-impact solutions that support enterprise goals. This includes leading the design and development of scalable data pipelines and information assets using modern technologies that align with reference architecture and enable timely, iterative delivery. This role requires a proactive, consultative mindset and a strong sense of ownership, driving collaboration, guiding technical direction, and influencing outcomes to ensure that data solutions not only meet requirements, but also empower internal clients to make informed, strategic decisions.

What You Will Do

1.     Solutions Delivery – Analysis, Design, and Development

  • Create and maintain optimal data pipeline architecture.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big-data technologies.
  • Build data pipelines to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Responsible for collaborating with others on development and delivery of ETL architecture design and ETL programs, Data Reconciliation processes, and Data Services solutions.
  • Responsible for ensuring that the technical output of the Data Engineering team conforms to best practices and standards.
  • Perform hands-on development of solutions as well as performance optimization, data mappings, and ETL progress design
  • Draft technical design and specifications, and data lineage.
  • Responsible for other related assessments such as Data Analysis, Root Cause Analysis, Impact Analysis, As-Is solution assessment and To-Be solution recommendation, etc.

    • 2.     Lead Solutions Delivery Management

  • Work closely with Business and IT teams to ensure the delivered solutions meet Data delivery requirements.
  • Partner with other internal stakeholders to assess how technologies can best streamline processes and / or add value.
  • Manage projects effectively and resolve simple to complex problems with urgency and diplomacy. Execute plans to drive higher solution efficiency and delivery velocity of Data Services solution.

    • 3.     Test and Maintenance

  • Monitor and test application performance for potential bottlenecks, identify possible solutions, and work with developers to implement fixes
  • Write and maintain custom scripts to increase system efficiency and lower the human intervention time on any tasks,
  • Update process documentation to keep system library up to date
  • Manage and monitor all installed systems and infrastructure.
  • Validate data solutions against requirements through structured testing and quality assurance
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