Informatica Data Quality Consultant / Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an "Informatica Data Quality Consultant / Developer" with a contract length of "6 months" and a pay rate of "$60-$80/hour." Key skills required include "Informatica IDQ, data governance, ETL, and cloud integration." Industry experience in "data quality processes" is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 9, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Data Quality #Compliance #Data Governance #Informatica #Informatica IDQ (Informatica Data Quality) #Cloud #Data Profiling #Data Architecture
Role description
Job Description
• Design and develop data quality rules, mappings, and workflows using Informatica IDMC CDI and CDQ.
• Perform data profiling, cleansing, parsing, standardization, and matching to improve data quality.
• Collaborate with data architects, analysts, and business stakeholders to understand data quality requirements.
• Implement data quality dashboards and exception handling mechanisms.
• Integrate data quality processes with ETL pipelines and cloud data platforms.
• Document data quality processes, rules, and technical specifications.
• Monitor and optimize performance of data quality jobs and workflows.
• Support data governance initiatives by ensuring compliance with data standards and policies.
Job Description
• Design and develop data quality rules, mappings, and workflows using Informatica IDMC CDI and CDQ.
• Perform data profiling, cleansing, parsing, standardization, and matching to improve data quality.
• Collaborate with data architects, analysts, and business stakeholders to understand data quality requirements.
• Implement data quality dashboards and exception handling mechanisms.
• Integrate data quality processes with ETL pipelines and cloud data platforms.
• Document data quality processes, rules, and technical specifications.
• Monitor and optimize performance of data quality jobs and workflows.
• Support data governance initiatives by ensuring compliance with data standards and policies.
