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    Manager, Data Engineering - Newport Beach, United States - Hyundai Capital Bank Europe

    Hyundai Capital Bank Europe
    Hyundai Capital Bank Europe Newport Beach, United States

    2 weeks ago

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    Description

    Who We Are: Through our service brands Hyundai Motor Finance, Genesis Finance*, and Kia Motors Finance, we provide financial products tailored to meet the needs of Hyundai, Genesis, and Kia dealerships nationwide, including dealer inventory and facility financing. And, through these dealerships, we provide indirect vehicle financing and leasing solutions to over 1.7 million retail customers.

    Employee Value Prop and Culture: Our employees contribute every day to a culture that is fast-paced, dynamic, energized, agile, and collaborative.

    From our various engagement programs to the unique design of our offices, we strive to foster a connected, fun, positive and rewarding company culture where employees feel appreciated for their contributions, proud of their company, and thrive to be passionately invested in HCA's success.

    Global One Company:

    Many countries. One identity. Hyundai Capital has offices across the world, including China, Canada, the United Kingdom, Germany, Russia, Brazil and Korea. Our work environments are designed with specific themes in mind to achieve a consistent global identity that reflects our values: light, collaboration, elements of nature and symmetry.

    General Summary:

    You will be part of a talented team of Global engineers that demonstrate superb technical competency, delivering mission critical requirements and ensuring the highest levels of availability, and system performance. Qualified data engineers will have a background in data analytics, computer systems engineering, or software engineering.

    Duties and Responsibilities:

    1. Leadership and 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 (e.g. ability to resolve simple or complex problems with urgency and diplomacy)

    Execute plans to drive higher solution efficiency and delivery velocity of Data Services solution

    2. 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 to collaborate 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

    Manager is expected to 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.

    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 system developed according to requirement by testing

    4. Perform all other duties as assigned

    Knowledge and Skills:

    Experience in building and optimizing relational and structured data pipelines, architectures and data sets.

    Strong analytic skills related to working 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

    SQL and Oracle knowledge required

    Strong collaboration skills required

    Strong communication skills required (oral and written)

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