Data Modeler

HR POD - Hiring Talent Globally

موقع الوظيفة:

القاهرة - مصر

الراتب شهرياً: لم يكشف

تاريخ النشر: نُشرت قبل 2 يوم

عدد الوظائف الشاغرة: 1 عدد الوظائف الشاغرة

سجل للتقديم

ملخص الوظيفة

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.

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 dat...

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.

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