Informatica MDM Engineer

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Note

4 days Onsite / 1 days remote @ Chennai

Immediate Joiner/Serving Notice period

MDM exp is mandatory

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Position Description:

We are seeking a Cloud-focused MDM Developer to lead the implementation of our Informatica MDM SaaS solution. In this role, you will be responsible for building a modern, cloud-native master data foundation. A key focus will be translating existing IBM MDM data designs into the Informatica Business Entity framework. The ideal candidate must demonstrate a strong understanding of SaaS consumption models, designing solutions that are both technically robust and cost optimized.

Skills Required:

Informatica, MDM, Google Cloud Platform - Biq Query, Data Flow, Dataproc, Data Fusion,

Experience Required:

Engineer 2 Exp.: Practitioner: 1 coding language or framework. 4+ years in IT; 3+ years in development

Additional Information :

Business Entity Modeling: Design and configure Business Entities, Relationships, and Field Groups within the MDM SaaS Multidomain/C360 application. Cost-Optimized Design: Design data models and integration patterns with a focus on cost-efficiency. This includes optimizing the consumption of Informatica Processing Units (IPUs) and managing Managed Record limits through efficient data filtering and archival strategies. AI-Powered Match & Merge: Configure and tune match models using CLAIRE and declarative rules. Define survivorship and trust rules to ensure a "Golden Record." Ingestion & Integration: Build and manage data pipelines using CDI (Batch) and CAI (Real-time). Choose the most cost-effective integration pattern based on business latency requirements. Data Quality: Implement Cloud Data Quality (CDQ) rules for profiling and cleansing, ensuring only high-value data is mastered to control SaaS licensing costs. Legacy Mapping: Analyze legacy IBM MDM data models and map them to the Informatica SaaS Business Entity structure. Workflow & Governance: Set up change request processes and approval workflows within the SaaS environment. API Management: Develop and consume REST APIs for data synchronization, ensuring efficient API call volume to prevent unnecessary overhead.