Data Quality Engineer - Elevate Data Integrity & Trust

Datamatics Technologies LLC; Islamabad; On-site; PKR 1,200,000 - 2,000,000; Full time

Job summary

Datamatics Technologies LLC is seeking a Data Quality Engineer to ensure the accuracy, completeness, and reliability 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.

You will develop and monitor data quality rules, collaborate with business and technical teams, and drive remediation through root-cause analysis and stakeholder management.

Qualifications

• 4–5 years 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

Data Quality

Data Governance

Stakeholder Management

Problem Solving

Tools

Informatica IDMC/IDQ

Microsoft Fabric Purview

Databricks

Python/PySpark

Job description

Datamatics Technologies LLC is seeking a Data Quality Engineer to ensure the accuracy, completeness, and reliability 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.

You will develop and monitor data quality rules, collaborate with business and technical teams, and drive remediation through root-cause analysis and stakeholder management.