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Data Engineer
Data EngineerHyundai Capital America • Irvine, California, United States
Data Engineer

Data Engineer

Hyundai Capital America • Irvine, California, United States
[job_card.variable_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

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 Data Engineer is responsible for designing and developing data pipelines and information assets utilizing modern technology approaches to ensure alignment with reference architecture, data requirements, time frames are iterative delivery of data pipeline artifacts.

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, ELT optimization, data mappings, and ETL progress design to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Responsible for ensuring that the technical output of the Data Engineering team conforms to best practices and standards .
  • Draft technical design and specifications, and data lineage.
  • Participate on other related assessments such as Data Analysis, Root Cause Analysis, Impact Analysis, As-Is solution assessment and ToBe solution recommendation, etc.

    • 2.Test and Maintenance

  • Implement improvements to application performance for potential bottlenecks.
  • Update process documentation to keep system library up to date.
  • Validate system developed according to requirement by testing.

    • 3.Solutions Delivery Management

  • Follow processes and practices to enable the delivery of data engineering artifacts.
  • Execute plans to drive higher solution efficiency and delivery velocity of Data Services solution.

    • Qualifications

    What You Will Bring

  • Minimum 5-7 years’ progressive experience in data analytics, computer systems engineering, or software engineering.
  • Proven experience with Data Integration tools such as Informatica, AWS Glue, AWS Redshift, AWS S3, and languages such as Stored Procedures, Python, Spark, etc.
  • Auto-finance experience and specifically Cassiopeia product experience required.
  • SQL and Oracle knowledge required.
  • Bachelor’s degree required.
  • Advanced degree preferred.
  • Experience in building and optimizing relational and structured data pipelines, architectures and data sets.
  • Strong analytic skills to work with unstructured datasets.
  • Has in-depth functional expertise and broad business knowledge of data domains.
  • Ability to find solutions on data requirements and issues.
  • Ability to conduct code reviews to ensure that the technical output conforms to best practices and standards.
  • Ability to communicate and influence Business and IT in terms of understanding the data. requirements, respective data solutions, and technical decisions.
  • Strong collaboration and motivation skills.
  • Strong communication skills (verbal and written).

    • Work Environment

    Employees in this class are subject to extended periods of sitting, standing, and walking, vision to monitor and moderate noise levels. Work is performed in an at home and office

    environment.

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