About the Job:
The company is an IT services, consulting, and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 50 years. The company offers a consulting-led, cognitive-powered, integrated portfolio of business, technology, and engineering services and solutions through its unique Location Independent Agile™ delivery model.
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Job Description:
The Data Quality Engineer will be responsible for:
- Designing and implementing data quality rules and validations using Informatica Data Quality (IDQ).
- Performing data profiling to assess data completeness, accuracy, consistency, and uniqueness.
- Developing data cleansing and standardization workflows to improve data reliability.
- Building and maintaining data quality scorecards, dashboards, and metrics to monitor data quality KPIs.
- Implementing data transformations and enrichment logic as part of data quality processes.
- Defining and tracking data quality dimensions such as accuracy, completeness, timeliness, and consistency.
- Collaborating with data engineers, analysts, business stakeholders, and data governance teams.
- Identifying root causes of data quality issues and recommending preventive measures.
- Supporting regulatory reporting, analytics, and downstream data consumers.
- Documenting data quality rules, issue logs, thresholds, and remediation actions.
- Participating in user acceptance testing (UAT), production support, and continuous improvement initiatives.
Required Technical Skills:
- Strong hands-on experience with Informatica Data Quality (IDQ).
- Proficiency in data profiling, data cleansing, and standardization.
- Experience in rule development, scorecards, and metrics.
- Familiarity with Informatica PowerCenter/Cloud Data Integration is a plus.
- Strong SQL skills for data analysis and validation.
- Understanding of ETL/data pipeline concepts.
- Experience working with RDBMS (Oracle, SQL Server, PostgreSQL, etc.).
- Familiarity with data quality frameworks and best practices.
Data & Domain Knowledge:
- Solid understanding of enterprise data management.
- Experience in the Banking, Financial Services, or Insurance domain is preferred.
- Knowledge of regulatory and reporting data quality requirements is a plus.
Soft Skills:
- Strong analytical and problem-solving skills.
- Ability to work with cross-functional teams.
- Excellent communication and documentation skills.
- Proactive mindset for identifying and resolving data issues.
Language Requirements:
English proficiency is expected.
Location:
Dubai, United Arab Emirates
Job Type:
Full-time
Work Conditions:
On-site
Application Deadline:
30-May-2026
