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Data Modeler

Irving, TX, United States

Data Modeler

Irving, TX

Fulltime 5+ years of IT experience with good communication skills and having knowledge in banking domain, specifically in Finance, Risk , banking card & retail business.

Be an excellent communicator and collaborator, engaging with multiple technical and business stakeholders and leaders.

Good to have knowledge in cloud database like Snowflake, Redshift.

Focuses on bank-wide data modeling and database design (Conceptual, Logical and Physical Design) using traditional and advance data approach.

Having knowledge of any Industry reference model.(good to have)

Defines data/information architecture standards, structure, attributes and nomenclature of data elements, and applies accepted data content standards to technology projects.

Advises on consistent business analysis, data acquisition, and access analysis and design, Data Management Systems optimization, load strategy design and implementation, as well as data-related security and change management.

Collaborates with Engineering and ETL teams on data model, its maintenance and optimization as well as end-to-end data driven integration strategy.

Develops a metadata management and repository strategy to manage all enterprise information architecture project artifacts.

Ensure the to-be model is inclusive of integration of data across systems, collection, storage, processing, management, governance and analysis of data.

Work closely with Business application teams , business analyst, data analyst and database administrators and reporting team to ensure solution meets business requirements.

Experience with data modelling tools such as Erwin (mandatory), Magic Draw (good to have).

Expertise in RDBMS, Warehouses, Bigdata ( Hive).

Additional Preferences: Candidate should have Banking & finance domain experience.

Hands on with Data Modeling tools.

Experienced with coding tools - Visual Studio.

Understanding of any programming language Java, JSON, etc.

Should be able to lead the discussion with technical expertise.

Adapt to learn new tools and technologies and explore on it.

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