21 days ago
Bengaluru, IndiaSenior
Responsibilities
- Design, configure, and enhance enterprise master data management solutions using Profisee and Azure data services.
- Develop and maintain integrations between Profisee MDM, Microsoft Fabric, Azure platforms, and source systems.
- Configure match-and-merge logic, survivorship rules, golden record management, and stewardship workflows.
- Implement and monitor data quality controls, validation, standardization, duplicate detection, and exception handling.
- Troubleshoot integration failures, data quality exceptions, incorrect matches, and master data processing issues.
- Collaborate with Business Analysts and data owners to translate business policies into technical configurations and master data models.
- Lead data migration, onboarding, initial loads, incremental updates, and ongoing synchronization activities.
- Maintain technical design documents, configuration specifications, integration mappings, and operational runbooks.
Requirements
- At least 2–4 years of experience in data engineering, including hands-on enterprise master data management implementations and Azure data solutions.
- Experience implementing and configuring Profisee MDM.
- Experience developing and managing Azure DevOps pipelines.
- Proficiency with SQL for data profiling and source-to-target mappings.
- Knowledge of master data modeling, matching, merging, and survivorship logic.
- Experience integrating MDM platforms with enterprise applications using APIs and connectors.
- Experience configuring data quality rules and handling exceptions.
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a closely related discipline.
- Microsoft Certified: Azure Data Engineer Associate certification is desired.
- Profisee Certified Professional or an equivalent Master Data Management certification is desired.
- Preferred experience includes Microsoft Fabric data services, advanced troubleshooting of Azure integrations, data governance, stewardship workflows, metadata management, reference data management, testing, release management, and Azure production deployments.
About Brillio
Brillio is a privately held digital engineering and enterprise AI services firm that helps Fortune 1000 companies modernize products, data, and infrastructure. It combines consulting and managed services with an accelerator platform (ADAM) across cloud, AI, data engineering, customer experience, and infrastructure workstreams. Founded in 2014 and headquartered in Dallas, it operates delivery centers across North America, Europe, and Asia, with focus areas that include healthcare and life sciences.