Microsoft Fabric Data Engineer D365 F&O
Qzensys Solutions
Job Overview
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Job Description
About QZENSYS Solutions
QZENSYS is a leading professional services partner specializing in IT staffing, consulting, software development, and advanced technology solutions. With expertise across modern platforms and tools, QZENSYS helps businesses build agile, future-ready teams to navigate digital transformation and maintain a competitive edge. Known for its reliability and commitment to quality, the company supports organizations in achieving their technology goals. Additionally, QZENSYS offers comprehensive software development services across all technology stacks and platforms.
Role Overview
We are looking for a highly skilled Microsoft Fabric Data Engineer with strong expertise in Dynamics 365 Finance & Operations (D365 F&O) data structures and data flows. The ideal candidate will have hands-on experience in understanding, extracting, and transforming data originating from D365 Finance into Microsoft Fabric for analytics and reporting.
Key Responsibilities
- Analyze and understand data flow from D365 Finance & Operations including: Data entities, BYOD (Bring Your Own Database), Data management framework (DMF), OData endpoints.
- Design and implement data ingestion pipelines in Microsoft Fabric using: Dataflows Gen2, Pipelines (Data Factory in Fabric), Lakehouse architecture.
- Work closely with functional teams to understand Finance modules (GL, AP, AR, Fixed Assets, etc.) and business data mappings and transformations.
- Build and optimize data models in Fabric Lakehouse/Warehouse.
- Ensure data quality, consistency, and governance across the pipeline.
- Develop incremental load strategies and optimize performance.
- Collaborate with Power BI teams for downstream reporting and analytics.
Required Skills
- Strong experience with Microsoft Fabric: Lakehouse, Data Warehouse, Pipelines / Data Factory, Dataflows Gen2.
- Deep understanding of D365 Finance & Operations data architecture: Tables, entities, staging concepts, data export mechanisms (BYOD, Synapse Link, etc.).
- Experience in data extraction from D365 Finance using: OData APIs, Export to Data Lake, BYOD.
- Proficiency in: SQL, Data modeling, ETL/ELT design.
- Strong understanding of Azure ecosystem (preferred): Azure Data Factory, Azure Synapse (nice to have).
Preferred Qualifications
- Experience working in Finance domain datasets (GL, AP, AR).
- Exposure to Power BI for data consumption.
- Knowledge of data governance and security in Fabric.
- Experience in performance tuning and large-scale data handling.
Key Skills/Competency
- Microsoft Fabric
- Data Engineering
- D365 Finance & Operations
- Data Ingestion
- ETL/ELT
- SQL
- Data Modeling
- OData
- Lakehouse
- Data Warehouse
How to Get Hired at Qzensys Solutions
- Tailor your resume: Highlight Microsoft Fabric, D365 F&O data, ETL/ELT, and SQL skills.
- Showcase relevant experience: Detail projects involving data extraction from D365 Finance and pipeline development in Fabric.
- Prepare for technical questions: Be ready to discuss data modeling, D365 data structures, and Fabric components.
- Contact HR directly: Reach out to Priya at 7338097992 to express your interest and learn more.
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