drjobs Data Modeler العربية

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Job Location drjobs

Cairo - Egypt

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Requirements:

  • 5 years of proven experience as a Data Modeler in complex data environments.
  • Strong expertise in Azure Data Fabrics Azure Data Lake and Azure Data Factory (ADF) for ETL processes.
  • Experience with Oracle EBusiness Suite/Fusion and Microsoft CRM as source systems.
  • Solid understanding of data warehousing concepts star/snowflake schemas and dimensional modelling.
  • Familiarity with data governance practices and tools such as Azure Purview.
  • Excellent problemsolving skills and ability to work independently and collaboratively.
  • Strong communication skills to interact effectively with technical and nontechnical stakeholders.
  • Leverage Azure OpenAI ML models and Copilot for advanced analytics.
  • Enable realtime data processing with Event Streams and KQL databases.
  • Support datadriven AI applications by structuring data for efficient consumption.
  • Microsoft Azure certifications (e.g. Azure Data Engineer Azure Solutions Architect) are a plus.
  • Experience with Power BI or other BI tools for reporting and visualization.
  • Knowledge of Azure Synapse Analytics and Databricks for advanced analytics.
  • Familiarity with Agile methodologies and CI/CD practices for data projects.

Responsibilities:

  • Design and develop data models (conceptual logical and physical) to support reporting analytics and data integration initiatives.
  • Should have good experience in any of Data Modelling Tools like Erwin Visio dbForge Power Designer
  • Help data engineers for data pipelines using Azure Data Factory (ADF) to extract transform and load (ETL) data from various source systems.
  • Leverage Azure Fabrics/Data Lake for data storage management and processing.
  • Integrate data from Oracle EBusiness Suite/Fusion and Microsoft CRM systems into Azure Data Lake and other cloudbased platforms.
  • Ensure data quality consistency and governance throughout the data lifecycle.
  • Collaborate with business analysts data engineers and stakeholders to gather and translate requirements into scalable data models.
  • Optimize data models for performance and scalability to handle future data requirements.
  • Develop and enforce best practices for data architecture ETL processes and data governance.
  • Perform data profiling and analysis to identify and resolve data quality issues.
  • Create and maintain comprehensive data documentation and metadata management.

Employment Type

Full Time

Company Industry

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