Data Modeler Lead

3 days ago


Mansoura, Egypt Teradata Full time

The Teradata Data Modeler Lead is a consulting delivery role as part of Teradata DWH projects delivery engagements.

Teradata Data Modeler together with Business Analysts contributes in the delivery of the business analysis and data design workstream for Teradata 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.

**Responsibilities and duties**:
As a Data Modeler, you are responsible for the business analysis and data design workstream using Teradata methodologies and processes, including activities such as but not limited to:
Data design - data modelling, data flow, 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 UAT.

Mapping business rules to logical model

Perform recommendation for transfer of logical model to Physical model

**Basic requirements**:
8+ years’ experience in similar role

Degrees 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, telco) preferable Government.

Familiarity with both traditional and agile IT project delivery and development cycles

Requirements documentation and information gathering techniques

Excellent written and oral English and Arabic with experience preparing and managing documentation of senior-level client deliverables in both languages.

Excellent communication and presentation skills

Detail focussed, resourceful, decisive, composed, problem-solver, flexible and adaptable

Working effectively in multi-disciplinary and cross-organizational teams

**Technical requirements**:
Skills, Knowledge & Experience (M = Must have; S = Should have)

Data architecture and data modelling (M)

Data analysis (M)

Advanced SQL (S)

Data integration principles (M)

Data integration software (S)

**BI tools**: specification, development, and use (e.g. Tableau/QlikView/BO) (S)

**Requirements management tools**: e.g. JIRA, Jama, Trello (S)

DataOps and DevOps tools and principles (like git, Jenkins, code automation tools) (S)



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