Senior Data Modeler

القاهرة - مصر

الراتب شهرياً: لم يكشف

تاريخ النشر: نُشرت منذ أكثر من 30 يومًا

عدد الوظائف الشاغرة: 1 عدد الوظائف الشاغرة

سجل للتقديم

ملخص الوظيفة

Job Purpose:

The Senior Data Modeler is responsible for designing and maintaining robust data models that support the organizations data architecture. This role involves collaborating with various stakeholders to ensure that data structures effectively meet business needs and facilitate efficient data management and analytics.

Role and Responsibilities

Data Modeling: Design develop and maintain logical and physical data models that align with business requirements and data governance standards.
Collaboration: Work closely with data architects data engineers and business analysts to gather requirements and translate them into data models.
Data Quality Assurance: Ensure data integrity and quality by establishing standards and best practices for data modeling.
Documentation: Create and maintain comprehensive documentation of data models dealing with BRD documents data dictionaries and metadata.
Performance Optimization: Monitor and optimize data model performance to facilitate efficient data retrieval and processing.
Mentorship: Provide guidance and support to junior data modelers and team members on best practices and methodologies.

Qualifications and Education Requirements

Bachelors degree in Computer Engineering Computer Science or Information Technology.
7 years of hands-on experience with relational dimensional and/or analytic data modeling using RDBMS dimensional and NoSQL data platform technologies as well as ETL and data ingestion protocols.
Strong understanding of database management systems data warehousing concepts and different architecture & modeling techniques.
Fluent in English and Arabic.

Preferred Skills

Proficiency in data modeling tools (e.g. Erwin PowerDesigner IBM Infosphere Microsoft Visio).
experience with SQL NoSQL semi-SQL databases and cloud storage.
Experience with Architecure Design and data warehouse solutions (e.g. BigQuery Snowflake Redshift Azure Synapse).
Experience in cloud architecture design (e.g. Google Cloud AWS Azure).
Familiarity with data integration and ETL processes.
Knowledge of data governance and data quality frameworks.
Strong analytical and problem-solving skills.

Job Purpose: The Senior Data Modeler is responsible for designing and maintaining robust data models that support the organizations data architecture. This role involves collaborating with various stakeholders to ensure that data structures effectively meet business needs and facilitate efficient da...

Job Purpose:

Role and Responsibilities

Data Modeling: Design develop and maintain logical and physical data models that align with business requirements and data governance standards.
Collaboration: Work closely with data architects data engineers and business analysts to gather requirements and translate them into data models.
Data Quality Assurance: Ensure data integrity and quality by establishing standards and best practices for data modeling.
Documentation: Create and maintain comprehensive documentation of data models dealing with BRD documents data dictionaries and metadata.
Performance Optimization: Monitor and optimize data model performance to facilitate efficient data retrieval and processing.
Mentorship: Provide guidance and support to junior data modelers and team members on best practices and methodologies.

Qualifications and Education Requirements

Bachelors degree in Computer Engineering Computer Science or Information Technology.
7 years of hands-on experience with relational dimensional and/or analytic data modeling using RDBMS dimensional and NoSQL data platform technologies as well as ETL and data ingestion protocols.
Strong understanding of database management systems data warehousing concepts and different architecture & modeling techniques.
Fluent in English and Arabic.

Preferred Skills

Proficiency in data modeling tools (e.g. Erwin PowerDesigner IBM Infosphere Microsoft Visio).
experience with SQL NoSQL semi-SQL databases and cloud storage.
Experience with Architecure Design and data warehouse solutions (e.g. BigQuery Snowflake Redshift Azure Synapse).
Experience in cloud architecture design (e.g. Google Cloud AWS Azure).
Familiarity with data integration and ETL processes.
Knowledge of data governance and data quality frameworks.
Strong analytical and problem-solving skills.

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