Raqmiyat is a UAE-based IT and digital transformation company specializing in consulting, staffing, and enterprise technology solutions. We empower banking, government, and enterprise clients across the Middle East to achieve their digital objectives.
Main Responsibilities:
User Acceptance Testing (50%):
Coordinate and conduct UAT to validate system functionality and ensure it meets user requirements, including test scenario & script creation.
Data Migration (30%):
Execute manual data migration tasks, ensuring accuracy and completeness of data transfer between systems.
Data Reconciliation (10%):
Perform data reconciliation to ensure data consistency and accuracy across different systems.
Data Cleansing (10%):
Identify and rectify data inconsistencies, duplicates, and errors to maintain data integrity.
Skills and Qualifications:
Methodical:
Strong attention to detail and a systematic approach to problem-solving.
Self-Starter:
Ability to work independently, manage time effectively, and take initiative.
Analytical:
Excellent analytical skills to interpret data and identify trends or issues.
Technical Proficiency:
Proficient in data management tools and software.
Communication:
Strong verbal and written communication skills to collaborate with team members and stakeholders.
Experience:
Previous experience in UAT, data migration, and data reconciliation is favored. Banking domain knowledge is a pre-requisite. Corporate banking product knowledge is preferable (but not essential).
Requirements
Main Responsibilities:
User Acceptance Testing (50%):
Coordinate and conduct UAT to validate system functionality and ensure it meets user requirements, including test scenario & script creation.
Data Migration (30%):
Execute manual data migration tasks, ensuring accuracy and completeness of data transfer between systems.
Data Reconciliation (10%):
Perform data reconciliation to ensure data consistency and accuracy across different systems.
Data Cleansing (10%):
Identify and rectify data inconsistencies, duplicates, and errors to maintain data integrity.
Skills and Qualifications:
Methodical:
Strong attention to detail and a systematic approach to problem-solving.
Self-Starter:
Ability to work independently, manage time effectively, and take initiative.
Analytical:
Excellent analytical skills to interpret data and identify trends or issues.
Technical Proficiency:
Proficient in data management tools and software.
Communication:
Strong verbal and written communication skills to collaborate with team members and stakeholders.
*
Experience:
Previous experience in UAT, data migration, and data reconciliation is favored. Banking domain knowledge is a pre-requisite. Corporate banking product knowledge is preferable (but not essential).
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