Senior Data Quality Consultant – Informatica Data Quality, Data Governance, SQL & Data Profiling

Senior Specialist - Data Engineering
Job description:
Position
Data Quality Lead Senior Data Quality Consultant
Experience
7 to 11 Years
Location
Offshore
Role Summary
We are seeking an experienced Data Quality professional to establish implement and continuously improve enterprise Data Quality frameworks across data platforms data lakes data warehouses and reporting systems The candidate will partner with business stakeholders data owners governance teams and engineering teams to ensure that data is accurate complete consistent valid and reliable for business decisionmaking
Key Responsibilities
Data Quality Strategy Framework
Define and implement enterprise Data Quality DQ frameworks standards processes and controls
Establish Data Quality KPIs scorecards and monitoring mechanisms
Identify Critical Data Elements CDEs and prioritize DQ initiatives
Drive continuous improvement programs for data quality management
Data Profiling Assessment
Perform data profiling and analysis across source and target systems
Analyze data anomalies missing values duplicates inconsistencies and validation failures
Define data quality rules based on business requirements and governance policies
Assess profiling results and recommend remediation actions
Data Quality Monitoring Controls
Develop and implement automated DQ validation rules
Create and maintain data quality scorecards and dashboards
Monitor data quality metrics and report trends to stakeholders
Establish ing and exception management processes
Root Cause Analysis Remediation
Perform root cause and impact analysis for data quality issues
Analyze upstream and downstream impacts across source systems ETL pipelines data lakes and reporting platforms
Define corrective and preventive actions
Work with engineering teams to implement remediation solutions
Data Cleansing Standardization
Design and implement data cleansing enrichment and standardization processes
Develop reconciliation mechanisms to identify data gaps
Establish masterreference data validation standards
Ensure consistent business rule implementation across systems
Governance Stakeholder Management
Collaborate with Data Owners Data Stewards Business Analysts and Governance teams
Conduct DQ reviews and governance meetings
Drive adoption of DQ processes across business and technology teams
Support compliance audit and regulatory reporting activities
Required Technical Skills
Mandatory Skills
Data Quality Management
Data Profiling Validation
Data Quality Rule Development
Data Quality Monitoring Scorecards
Root Cause Analysis RCA
Data Cleansing Standardization
Data Reconciliation Techniques
SQL Advanced
Data Warehousing Concepts
ETLELT Processes
Data Governance Fundamentals
Reporting Analytics
Data Quality Tools Preferred
Informatica Data Quality IDQ
Informatica DQ Cloud
Microsoft Purview
Collibra DQ
Ataccama
Talend Data Quality
Great Expectations
Screening Questions
1 Describe a Data Quality framework you have implemented and the business outcomes achieved
2 How do you identify and prioritize Critical Data Elements CDEs
3 What Data Quality dimensions do you typically measure
4 Explain a complex data quality issue you resolved using root cause analysis
5 How would you validate data migrated from Azure SQL to Databricks
6 What reconciliation techniques have you used across source and target systems
7 Which DQ tools have you worked with and what was your role in implementation
8 How do you design DQ scorecards and executive dashboards
9 How do you monitor and improve data quality in Power BI reporting environments
10 How do you collaborate with Data Owners and Data Stewards to remediate data issues
Skills:
Mandatory Skills : Informatica DATA Quality

Work arrangement
Hybrid