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    Manager, Data Engineering - Plano, United States - Hyundai Capital Services

    Hyundai Capital Services
    Hyundai Capital Services Plano, United States

    4 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:


    • 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
    • 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.
    • 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
    • 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)
    Qualifications


    • 5 years relevant experience in Data analysis
    • Data Integration tools and experience via using tools such as Informatica, AWS Glue, AWS Redshift, AWS S3, and languages such as Stored Procedures, Python, Spark, etc.
    • Bachelor's degree required, advanced degree preferred
    Physical Requirements and

    Working Condition:


    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 office environment.

    California Privacy Notice

    This notice only applies to our applicants who reside in the State of California.

    The latest version of our Privacy Policy can be found here .

    This Privacy Policy provides you with notice, at or before the point of collection, about the categories of personal information to be collected from you, the purposes for which your personal information is collected or used, and whether that information is sold or shared, so that you can exercise meaningful control over our use of your personal information.

    We are providing this notice to comply with the California Consumer Privacy Act of 2018, as amended as amended by the California Privacy Rights Act of 2020 ("CCPA").


    If you have any questions about CCPA regarding California residents or HCA team members, please contact the Privacy Team at .

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