Lead Data Engineer - Cincinnati, United States - RADCUBE | Rapid Technology Solutions

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    Description

    TECHNICAL SKILLS
    Must Have
    Database Configuration
    Data Field Mapping
    Data input/output integrations
    datastage ETL developer
    Data Strategy (import or export based on the use case)Data Visualization into BI Tools
    PPRC (Taxonomy) build out and design
    Reporting Capabilities

    Nice To Have
    Financial Industry Knowledge
    RSA Archer
    Understanding of governance, risk, and compliance programs and processes


    JOB SUMMARY
    GRC Data Engineer

    JOB DESCRIPTION

    Part of a team building out a comprehensive GRC (governance, risk, and compliance) program on the software platform, Archer from RSA (Windows & SQL Server).


    Skillset:

    Datastage ETL, Data Strategy (import or export based on the use case), Field Mapping, PPRC (Taxonomy) build out and design w/consulting partner who can also help with data visualization, trending, and reporting capabilities.


    GENERAL FUNCTION:


    The data engineer designs and builds platforms, tools, and solutions that help the bank manage, secure, and generate value from its data.

    The person in this role creates scalable and reusable solutions for gathering, collecting, storing, processing, and serving data on both small and very large (i.e. Big Data) scales.

    These solutions can include on-premise and cloud-based data platforms, and solutions in any of the following domains ETL, business intelligence, analytics, persistence (relational, NoSQL, data lakes), search, messaging, data warehousing, stream processing, and machine learning.

    Responsible and accountable for risk by openly exchanging ideas and opinions, elevating concerns, and personally following policies and procedures as defined.

    Accountable for always doing the right thing for customers and colleagues, and ensures that actions and behaviors drive a positive customer experience.

    While operating within the Bank's risk appetite, achieves results by consistently identifying, assessing, managing, monitoring, and reporting risks of all types.


    ESSENTIAL DUTIES AND RESPONSIBILITIES:

    • Responsible for design, Development, and Support of data solutions, APIs, tools, and processes to enable rapid delivery of business capabilities.
    • Work closely with IT application teams, Enterprise architecture, infrastructure, information security, and LOB stakeholders to translate business and technical strategies into datadriven solutions for the Bank.
    • Act as a technical Expert addressing problems related to system and application design, performance, integration, security, etc.
    • Conduct research and Development based on current trends and technologies related to the banking industry, data engineering and architecture, data security, and related topics.
    • Work with developers to Build CI/CD pipelines, Selfservice Build tools, and automated deployment processes.
    • Evaluate software products and Provide documented recommendations as needed.
    • Provide Support and troubleshooting for data platforms. Must be willing to Provide escalated oncall Support for complicated and/or critical incidents.
    • Participate in the planning process for hardware and software.
    • Plan and work on internal projects as needed, including legacy system replacement, Monitoring and analytics improvements, tool Development, and technical documentation.
    • Provide technical guidance and mentoring for other team members.
    • Manage and prioritize multiple assignments.

    MINIMUM KNOWLEDGE, SKILLS AND ABILITIES REQUIRED:

    • Bachelor's degree in computer science/Information Systems or equivalent combination of education and experience.
    • Must be able to communicate ideas both verbally and in writing to management, business and IT sponsors, and technical resources in language that is appropriate for each group.
    • At least 6 years of related experience, including at least 4 years in a handson software development role.
    • Significant experience with at least one major RDBMS product.
    • Experience working with and supporting Unix/Linux and Windows systems.
    • Proficient in relational database modeling concepts and techniques.
    • Solid conceptual understanding of distributed computing principles.
    • Working knowledge of application and data security concepts, best practices, and common vulnerabilities.
    • Experience in one or more of the following disciplines preferred: big data technologies and distributions, metadata management products, commercial ETL tools, Bi and reporting tools, messaging systems, data warehousing, Java (language and run time environment), major version control systems, continuous integration/delivery tools, infrastructure automation and virtualization tools, major cloud, or rest API design and development.
    • Financial industry experience is a plus.

    APPLY FOR THIS JOB
    First Name*Last Name*Email*Phone*City*State Province*Key Skills*Years of Experience (number value)
    Current Pay ($)
    Expected Pay ($)
    Availability for project
    LinkedIn profile
    Attach Resume*INDIANAPOLIS

    1119 Keystone Way #302 Carmel, IN 46032


    MASSACHUSETTS
    1245 Hancock Street #28, Quincy, MA, 02169


    RESTON
    1818 Library Street #500, Reston, VA, 20190


    CINCINNATI
    8044 Montgomery Rd #700, Cincinnati, OH


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