Data Quality Specialist- Arabic

Account Manager-IT Staffing @ Dautom Information Technology

The Data Quality Specialist ensures that an organization’s data is accurate, consistent, and reliable across various systems and processes. This role involves analyzing and monitoring data quality, developing and enforcing data quality standards, and working closely with other teams to resolve data quality issues. The Data Quality Specialist plays a vital role in maintaining the integrity of data, which is essential for informed decision-making and operational efficiency.

• Data Quality Management: Oversee and manage the quality of data across the organization, ensuring accuracy, consistency, and completeness of data in all systems.
• Data Validation & Cleansing: Perform routine data audits and apply data cleansing techniques to correct errors, fill gaps, and resolve inconsistencies in datasets.
• Define Data Quality Standards: Develop, implement, and enforce data quality standards and policies in alignment with the organization's goals and regulatory requirements.
• Data Governance Support: Collaborate with the Data Governance team to ensure that data quality measures align with the organization’s governance frameworks.
• Root Cause Analysis: Investigate and resolve data quality issues by identifying root causes and implementing corrective actions.
• Data Profiling: Conduct data profiling activities to understand the current state of data quality and identify areas for improvement.
• Collaboration with IT & Business Teams: Work closely with cross-functional teams to establish data quality metrics and ensure data standards are maintained across departments.
• Data Quality Reporting: Develop reports and dashboards that track data quality performance metrics, and present findings to stakeholders.

Technical Skillset

• Data Quality Tools & Software: Proficiency in tools such as Informatica Data Quality, Talend, IBM InfoSphere, or similar platforms for data quality management.
• Data Management Systems: Strong knowledge of database systems (SQL, NoSQL), data warehouses, and cloud-based data platforms (e.g., AWS, Azure).
• Data Integration: Experience with ETL (Extract, Transform, Load) processes and data integration tools to ensure smooth data flow between systems.
• Data Analytics Tools: Ability to use data analytics tools like Power BI, Tableau, or Excel to analyze and visualize data quality metrics.
• Programming Languages: Familiarity with Python, R, or SQL for data analysis, profiling, and validation.

Qualifications

• Education:Bachelor’s degree in data science, Information Systems, Computer Science, or a related field. A master’s degree or relevant certification (e.g., CDMP) is a plus.
• Experience: 5+ years of experience in data quality, data management, or data governance roles, with hands-on experience in data profiling, cleansing, and validation.
• Certifications: Certifications in data quality or data management tools (e.g., Informatica, Talend) or relevant data governance certifications are desirable.