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Data Modeling & Testing Specialist - Banking

ssc-hrCairo, Cairo Governorate, Egypt
On-site Full-time

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Experience Level

Experience

Qualifications

Technical Skills & Qualifications:Profound understanding of Data Warehousing (DWH) architectures and data modeling concepts (e.g., star schema, snowflake schema, normalization/denormalization). Advanced proficiency in SQL for effective querying, data analysis, and performance enhancement. Familiarity with ETL tools and data integration workflows (e.g., Informatica, Talend, SSIS) is preferred. Practical experience with data testing frameworks, test case development, and data quality assurance techniques. Knowledge of performance optimization strategies in data environments. Experience with data modeling tools such as Erwin, ER/Studio, or equivalent is a plus. Preferred Qualifications:Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field. Experience in Agile or DevOps settings. Familiarity with cloud data platforms (e.g., Snowflake, Azure Data Lake, Google BigQuery) is advantageous. Strong analytical abilities coupled with meticulous attention to detail.

About the job

Join our dynamic team as a Data Modeling & Testing Specialist in the banking sector, where you will have the opportunity to design comprehensive data models and uphold data integrity through meticulous testing and validation processes. Our ideal candidate will possess extensive experience in Data Warehousing (DWH), data modeling, and SQL, contributing significantly to our data-driven strategies across the organization.

Key Responsibilities:

  • Craft, develop, and sustain conceptual, logical, and physical data models tailored to meet both business and technical specifications.
  • Work collaboratively with Business Analysts, Data Engineers, and Developers to effectively translate business requirements into optimized data structures.
  • Guarantee the accuracy, integrity, and consistency of data through comprehensive data validation and testing methodologies.
  • Enhance ETL processes by partnering with the data integration team to secure a seamless flow of data.
  • Refine SQL queries and data models for improved performance, scalability, and reliability.
  • Engage in code reviews, data quality evaluations, and initiatives aimed at continuous improvement.
  • Document data frameworks, metadata, and data mapping specifications for organizational governance and future reference.

About ssc-hr

ssc-hr is dedicated to fostering innovation and excellence within the banking sector, focusing on data-driven decision-making that enhances operational efficiency and strategic outcomes.

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