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Job Description
This role is a multi-faceted role, active as part of end-to-end project delivery as well as in pre-sales cycles for business exploration.
Responsible for the delivery of the business analysis and data design workstream for the Company’s services delivery and must have a deep understanding of the fine points of the data arena: data warehousing, big data, data usage, tools, and analytics, in order to extract the correct requirements from our clients and correctly design solution from data perspective.
Job Description:
As a Data Modeler you are responsible for the business analysis and data design workstream using the company methodologies and processes, including activities such as but not limited to:
- Data design – data modelling, data flow, and data transformations.
- Workstream scoping, planning and execution.
- Requirements elicitation, definition and management (functional, non-functional) and associated documentation lifecycles.
- Communications and stakeholder management.
- Prototyping and user acceptance testing.
- Mapping business rules to logical model.
- Perform recommendation for transfer of logical model to Physical model.
Technical Requirements:
- On hands experience in modelling using Inmon and Kimball methodologies. Detail knowledge of both the techniques is a must.
- Data architecture and data modelling.
- Data analysis.
- Advanced SQL.
- Data integration principles.
- Data integration software.
- BI tools: specification, development, and use (e.g. Tableau/QlikView/BO).
- Requirements management tools: e.g. JIRA, Jama, Trello.
- DataOps and DevOps tools and principles (like git, Jenkins, code automation tools).
Job Requirements
- From 8 to 12 years of experience in a similar role.
- Bachelor’s Degree in Computer Science, Engineering or other related areas is desirable.
- Knowledge/Experience in Data warehousing, big data, data modelling and data analysis
- Industry experience from one or more core industries (e.g. finance, insurance, Government, Taxation, Telecom) preferable Government.
- Familiarity with both traditional and agile IT project delivery and development cycles.
- Requirements documentation and information gathering techniques.
- Excellent command of English.
- Working effectively in multi-disciplinary and cross-organizational teams.