The objective of this role is to support the Data Lead and delivery teams in executing end-to-end data migration and analytics solutions for Microsoft Dynamics 365 implementations. The role will focus on migrating data from disparate legacy systems into D365, enabling data ingestion into Microsoft Fabric, and building scalable data models and reporting solutions for business insights.
Job Description:
Key Accountabilities
- Support Data Lead and delivery teams in end-to-end data migration activities for D365 (Sales, Project Operations, F&O;)
- Analyze and migrate data from disparate source systems into D365 using structured migration approaches
- Design and build Microsoft Fabric link and ingestion frameworks to bring D365 data into Fabric (Lakehouse/Warehouse)
- Develop and maintain data models aligned with reporting and analytics requirements
- Work with Dataverse and integrate it with Microsoft Fabric for advanced analytics and reporting
- Build and optimize Power BI reports and dashboards using Fabric and D365 data
- Perform data validation, reconciliation,
and quality checks during migration cycles
- Collaborate with functional and technical teams to ensure data mapping aligns with business processes
- Support testing cycles (functional/system testing for data migration) before UAT
- Document data flows, data models, and migration logic
- Ensure adherence to data governance, quality, and security standards
Professional Knowledge/Skills
- 5+ years of experience in data analytics, data engineering, or data migration roles
- Robust experience in data migration for D365 (mandatory) including understanding of entities and migration frameworks
- Hands-on experience with Microsoft Fabric (Data Factory, Lakehouse, Warehouse)
- Proven experience in building Fabric pipelines to ingest D365/Dataverse data
- Strong understanding of Dataverse and its integration with Fabric for reporting and analytics
- Experience in data modeling methodologies (dimensional modeling, normal
📌 Data Engineer (Bengaluru)
🏢 dentsu
📍 Bengaluru
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