Data Modeler
1 month ago
Skill: Data Modeler
- 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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