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Senior Data Engineer - R01572949 en Brillio-2

Brillio-2 · Bangalore, Indien · Hybrid

SQL

DevOps Automation Tools

Business Analyst

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Description

Senior Data Engineer

Primary Skills

  • AKS, Event Hub, Azure DevOps, Cosmos DB, Azure Functions

    • Specialization

  • Azure Data Engineering Advanced: Senior Data Engineer

    • Job requirements

  • Experience Range: with at least 2–4 years of experience in data engineering, including hands-on expertise in enterprise master data management (MDM) implementations and Azure data solutions Key Responsibilities: 1. Design, configure, and enhance enterprise master data management solutions using Profisee and Azure data services to ensure consistent, reliable, and governed business data 2. Develop and maintain integrations between Profisee MDM, Microsoft Fabric, Azure platforms, and source systems, achieving seamless data flow and timely synchronization 3. Configure and optimize match-and-merge logic, survivorship rules, golden record management, and stewardship workflows for critical business domains, improving data accuracy and completeness 4. Implement and monitor data quality controls, validation logic, standardization, duplicate detection, and exception handling to increase data reliability and reduce errors 5. Troubleshoot and resolve integration failures, data quality exceptions, incorrect matches, and master data processing issues across Azure and MDM platforms, ensuring minimal downtime 6. Collaborate with Business Analysts and data owners to translate business policies into technical configurations and master data models, driving adoption of MDM standards 7. Lead migration activities, data onboarding, initial loads, incremental updates, and ongoing synchronization between systems, delivering projects on schedule 8. Maintain comprehensive technical design documents, configuration specifications, integration mappings, and operational runbooks to support auditability and governance Required Skills: 1. Profisee MDM implementation and configuration 2. Azure DevOps pipeline development and management 3. SQL for data profiling and source-to-target mappings 4. Master data modeling, matching, merging, and survivorship logic 5. Integration of MDM platforms with enterprise applications using APIs and connectors 6. Data quality rule configuration and exception handling Preferred Skills: 1. Experience with Microsoft Fabric data services 2. Advanced troubleshooting of Azure-based integrations 3. Expertise in data governance and stewardship workflows 4. Familiarity with metadata and reference data management 5. Knowledge of testing, release management, and production deployments in Azure environments Desired Qualifications: 1. Bachelor's degree in Computer Science, Information Technology, Engineering, or a closely related discipline 2. Microsoft Certified: Azure Data Engineer Associate 3. Profisee Certified Professional or equivalent Master Data Management certification Additional Information: Fabric and MDM expertise required for this engagement
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