IPolarity
ETL Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an ETL Developer with 8+ years of experience in IDMC and mandatory MDM expertise. It offers remote work, focusing on data integration, ETL pipeline development, and collaboration for data quality and management using Informatica tools.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 23, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Alpharetta, GA
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🧠 - Skills detailed
#Data Integration #Cloud #Data Quality #Informatica #Data Management #"ETL (Extract #Transform #Load)" #MDM (Master Data Management) #Data Cleansing
Role description
Informatica ETL Developer with IDMC and MDM
Remote
Job Details
8+ years experience in IDMC and MDM
MDM experience is mandatory
Key Responsibilities:
• Designs, develops, and maintains data integration and master data management solutions using Informatica tools like IDMC (Intelligent Data Management Cloud) and the MDM Hub.
• Developing ETL pipelines to extract data from various sources, transforming it into a usable format, and loading it into target systems, while also configuring the MDM Hub and Informatica Data Director (IDD) for data cleansing, matching, and stewardship.
• Requires a strong understanding of the , data quality, business requirements, and collaboration with business and technical stakeholders to ensure a single, trusted view of master data.
Informatica ETL Developer with IDMC and MDM
Remote
Job Details
8+ years experience in IDMC and MDM
MDM experience is mandatory
Key Responsibilities:
• Designs, develops, and maintains data integration and master data management solutions using Informatica tools like IDMC (Intelligent Data Management Cloud) and the MDM Hub.
• Developing ETL pipelines to extract data from various sources, transforming it into a usable format, and loading it into target systems, while also configuring the MDM Hub and Informatica Data Director (IDD) for data cleansing, matching, and stewardship.
• Requires a strong understanding of the , data quality, business requirements, and collaboration with business and technical stakeholders to ensure a single, trusted view of master data.
