Data Quality Engineer - SQL & Data Platform Expert

Datamatics Technologies; Dubai; On-site; AED 180,000 - 300,000; Full time

Benefits offered by this job

Informatica Data Quality Certification

CDMP Certification

Microsoft Fabric Analytics Engineer (·

Job summary

Datamatics Technologies in Dubai is seeking a Data Quality Engineer to ensure accuracy, completeness, and trustworthiness of enterprise data assets. The role requires strong SQL skills and hands-on experience with data quality processes using Informatica IDMC/IDQ, Microsoft Fabric Purview, or Databricks.

Ideal candidates will have 4–5 years in Data Quality, Data Governance, or Data Engineering, plus experience in profiling, validation, and root cause analysis.

Qualifications

• 4-5 years of experience in Data Quality, Data Governance, or Data Engineering.
• Strong SQL and data analysis skills.
• Experience with data profiling, validation, reconciliation, and root cause analysis.
• Experience implementing data quality rules, controls, and monitoring processes.
• Hands-on experience with Informatica IDMC/IDQ, Microsoft Fabric Purview, or Databricks.
• Strong problem-solving and stakeholder management skills.

Responsibilities

• Develop and maintain data quality rules, controls, and standards.
• Perform data profiling, validation, and reconciliation activities.
• Monitor data quality metrics and resolve quality issues.
• Conduct root cause analysis and support remediation efforts.
• Collaborate with business and technical teams to improve data quality.

Skills

SQL proficiency

Data profiling

Data governance

Stakeholder management

Data quality monitoring

Tools

Informatica IDMC/IDQ

Microsoft Fabric Purview

Databricks

Job description

Datamatics Technologies in Dubai is seeking a Data Quality Engineer to ensure accuracy, completeness, and trustworthiness of enterprise data assets. The role requires strong SQL skills and hands-on experience with data quality processes using Informatica IDMC/IDQ, Microsoft Fabric Purview, or Databricks.

Ideal candidates will have 4–5 years in Data Quality, Data Governance, or Data Engineering, plus experience in profiling, validation, and root cause analysis.