Enterprise Data Modeler

2 weeks ago


Doha, Qatar Brunel Full time

Works directly with the Data Architect to capture the Enterprise Data Model;
- Create data models upon need for support a use case or a requirement;
- Exposure to all COMPANY data.

**About this role**
- Understand, analysing and translating business requirements into long-term solution data models;
- Evaluating existing data systems and generate Physical data model, logical and conceptual data models;
- Should understand Enterprise Data Model (Subject Areas, Data Domain, Business Entities, key Attributes) along with business processes;
- Understanding and knowledge of Industry based standard data models such as PPDMS, Microsoft Common Data model and OSDU;
- Work with the DIM, Application Development team to implement data strategies, build data flows and develop conceptual data models;
- Create Conceptual, logical and physical data models using best practices to ensure high data quality and reduced redundancy by using ERWIN, Informatica EDC and Informatica Axon;
- Maintain conceptual, logical and physical data models along with corresponding metadata;
- Develop best practices for standard naming conventions and coding practices to ensure consistency of data models by using COMPANY Data Modelling standards;
- Improve the COMPANY Data Modelling Standards where possible;
- Review Data models for DDP use cases and integrate with enterprise data model;
- Recommend opportunities for reuse of data models in new environments from existing data models;
- Perform reverse engineering of physical data models from databases and SQL scripts as well on NOSQL based systems;
- Evaluate data models and physical databases for variances and discrepancies;
- Validate business data objects for accuracy and completeness;
- Analyze data-related system integration challenges and propose appropriate solutions;
- Guide System Analysts, Engineers, Programmers, vendors and others on project limitations and capabilities, performance requirements and interfaces;
- Review modifications to existing software to improve efficiency and performance;
- Creating central data model repository and sharing data models with relevant stakeholders;
- Integrate data model with enterprise data catalogue and business glossary.

**What you need to bring**
- Bachelor's degree in computer science, information technology, or a similar field;
- Expertise in data modelling principles/methods including conceptual, logical & physical Data Models;
- Strong experience in building enterprise data model with forward, reverse engineering or mixed approaches for Oil & Gas;
- Must have Enterprise Data Modelling experience;
- Ability to clearly communicate complex technical ideas, regardless of the technical capacity of the audience;
- 3-4 years of hands-on experience with data modelling tools ERWIN;
- Knowledge and experience of RDBMS platforms (e.g. Azure SQL Database, Azure synapse, SQL Server, Oracle, NoSQL), Microsoft Excel, Word, Power Point and Visio /draw.io;
- Expert knowledge & experience of metadata management and related tools;
- Good experience of NOSQL /Jason based schemas and common data models;
- Strong experience and understanding of Azure synapse and cloud-based data stores (MPP systems);
- Knowledge of Microsoft Common data model & PPDMS;
- Strong interpersonal skills;
- Experience with team management;
- Excellent communication and presentation skills;
- Knowledge of central data model repo with check in and check out concepts;
- Good Experience in Informatica Enterprise Data Catalog;
- Software Development experience in agile environment where data model is not design upfront;
- Ability to utilize Business Intelligence tools (Power BI) to represent insights and validate the data models;
- Experience in relation & dimensionally modelling;
- Experience in translating/mapping relational data models into JSON / XML and schemas.

**Benefits**
- ** Salary**:

- Day Rate in USD Plus Allowance
- ** Work Schedule**:

- 9 Hours / 6 Days
- ** Duration**:

- November 14th, 2024 with possible extension
- ** Location**:

- Qatar

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