Senior Data Engineer - R01572949

Brillio; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Brillio seeks a Senior Data Engineer in Bengaluru to lead enterprise MDM implementations and Azure data integrations. You will design, configure, and optimize Profisee MDM with Azure data services, ensuring data governance, quality and timely synchronization across systems.

The role requires hands-on experience with Profisee MDM, Azure DevOps pipelines, SQL data profiling, and data modeling. Collaboration with analysts and data owners is essential to drive MDM adoption and data quality

Qualifications

• Experience of 2–4 years in data engineering with hands-on Azure data solutions and MDM implementations.
• Design and configure Profisee MDM and Azure data services to ensure governed data.
• Develop integrations across Profisee MDM, Microsoft Fabric, Azure platforms and source systems.
• Configure match-and-merge logic, survivorship rules, golden records, and stewardship workflows.
• Implement data quality controls, validation logic, standardization, and exception handling.
• Troubleshoot integration failures and data quality issues across Azure and MDM.
• Lead migration activities, data onboarding, and ongoing synchronization between systems.
• Maintain technical design documents, mappings and runbooks for auditability.

Responsibilities

• Design, configure, and enhance enterprise MDM solutions.
• Develop and maintain integrations between MDM and Azure platforms.
• Configure and optimize matching, survivorship and golden records.

Skills

Analytical thinking

Problem solving

Communication

Project coordination

Education

Bachelor's degree in CS/IT/Engineering

Microsoft Certified: Azure Data Engineer Associate

Profisee Certified Professional

Tools

Profisee MDM

Azure DevOps

SQL

Master data modeling

Data integration

APIs & connectors

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