B
1mo ago
Bengaluru, KARNATAKA, India· Hybrid
PythonAzureMachine LearningAI
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Salary not disclosed
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Role overview
Job 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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About this listing
- Source: Brillio's official careers site · still listed there on 8 Nov 2026
- Posted 22 Oct 2026
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Role market pulse
How Data Engineer demand looks in India
Live jobs
126
Posted 30d
85
30d movement
+123.7%
Remote share
7.9%
Salary listed
9.5%
Salary trend 1Y
Not enough history
What they are looking for
Skills & requirements
Qualification
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
Department · AI & Data Engineering
Hiring company
Brillio
Technology
Brillio helps Fortune 1000 companies move AI from pilot to production with ADAM, agentic AI, data engineering, cloud and CX. OpenAI Select Partner.
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