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    Data Modeler - Atlanta, United States - Infosys BPM

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    Technology / Internet
    Description

    Required Qualifications:

    • Candidate must be located within commuting distance of Atlanta, GA or be willing to relocate to the area.
    • Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
    • Atleast 4 years of experience with Information Technology
    • 2 years of development experience in creating Logical and Physical Data model and understanding of the Source systems in Financial Services Domain.
    • Experience in Relational Modeling, Dimensional Modeling and Modeling of Unstructured Data using Erwin Data Modeler
    • 2+ years of experience with PL/SQL development
    • Should be self-driven, innovative and research oriented, develops solutions tailored to addressing specific problems/ needs
    • Understanding of SDLC, data modelling, data management and be adept in Agile execution methodologies
    • Participates in proof of concept executions, architecture discussions and validates complex technical solution when required
    • Experience with Lean / Agile development methodologies

    Preferred Qualifications:

    • Good experience in identifying the client / market needs and propose impactful solutions
    • Good understanding of the Source systems in Banking and Financial Services domain and data architecture
    • Good expertise in impact analysis due to changes or issues
    • Analyzing and translating business needs into long-term solution data models and evaluating existing data systems
    • Working with the development team to create conceptual data models and data flows.
    • Developing best practices for data coding to ensure consistency within the system.
    • Implementing data strategies and developing physical data models.
    • Updating and optimizing local and metadata models.
    • Evaluating implemented data systems for variances, discrepancies, and efficiency.
    • Troubleshooting and optimizing data systems
    • Ability to work in team in diverse/ multiple stakeholder environment
    • Verbal and written communication skills
    • Experience and desire to work in a Global delivery environment

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