Enterprise Data Modeler

2 weeks ago


Doha, Baladīyat ad Dawḩah, 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 longterm 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 datarelated 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;
  • 34 years of handson 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 ;
  • 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 cloudbased 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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