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Master Data Management Developer

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Hybrid

Master Data Management Developer

Virtusa

Master Data Management Developer

14 days ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

10 October 2026

What they need


MDM Solution Delivery: Design, configure, and maintain scalable MDM architectures using platforms such as Informatica MDM, Veeva Network, Reltio, or SAP MDG.  Data Integration & API Management: Develop and support data pipelines, interfacing MDM platforms with upstream and downstream enterprise systems via REST/SOAP APIs, middleware, and ETL/ELT tools.  SQL & Data Analysis: Write, optimize, and execute complex SQL scripts for data profiling, match/merge validation, performance tuning, and root-cause analysis of data anomalies.  Data Quality & Governance: Establish match/merge rules, survivorship strategy, deduplication logic, and data governance workflows to maintain high data integrity.  Cross-Functional Collaboration: Partner with data stewards, enterprise architects, and business stakeholders to translate business requirements into technical MDM specifications.  Troubleshooting & Support: Oversee batch job processing, API performance monitoring, and rapid resolution of platform or integration issues.  Technical & Professional Qualifications Experience: 7+ years of core experience working in enterprise Data Engineering and Master Data Management.  MDM Platforms: Proven proficiency in at least one (or more) leading MDM suite:  Informatica MDM (Multidomain / SaaS)  Veeva Network (Life Sciences / Commercial MDM)  Reltio Cloud MDM SAP MDG (Master Data Governance)  SQL Expertise: Advanced hands-on experience with SQL for relational databases (e.g., Oracle, SQL Server, PostgreSQL, Snowflake) to write complex queries, stored procedures, and perform deep data analysis.  Integration Technologies: Strong familiarity with APIs (REST, SOAP), Webhooks, and standard enterprise integration tools/middleware (e.g., MuleSoft, Informatica IICS, Kafka, or Dell Boomi).  Data Modeling & Governance: Solid foundation in conceptual, logical, and physical data modeling, data stewardship workflows, and data lineage mapping.

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