Freelance/contract work: Microsoft Fabric Data Engineer | Dynamics 365 Finance & Operations (D365 F&O) 8+ Experience
Qzensys Solutions · India
- Hybrid
- Part-time
- $120,000 / year
- India
Job highlights
- Engineer data pipelines in Microsoft Fabric.
- Extract and transform D365 F&O data.
- Build and optimize Fabric data models.
- Ensure data quality and governance.
- Collaborate on reporting and analytics.
About the role
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
Skills & topics
- Microsoft Fabric
- Data Engineer
- D365 F&O
- Dynamics 365
- ETL
- ELT
- SQL
- Data Modeling
- Data Ingestion
- OData
- Lakehouse
- Data Warehouse
- Contract
- Freelance
- Azure Data Factory
- Azure Synapse
How to get hired
- 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.
Technical preparation
Master Microsoft Fabric components.,Understand D365 F&O data architecture.,Practice SQL and data modeling.,Prepare for ETL/ELT scenario questions.
Behavioral questions
Describe a complex data challenge you solved.,How do you ensure data quality and governance?,Explain your collaboration with functional teams.,How do you optimize data pipeline performance?
Frequently asked questions
- What is the primary focus for a Microsoft Fabric Data Engineer at QZENSYS Solutions?
- The primary focus for this role is to engineer data pipelines within Microsoft Fabric, specifically extracting and transforming data from Dynamics 365 Finance & Operations for analytics and reporting purposes.
- What specific D365 F&O data structures are important for this role?
- Key D365 F&O data structures include data entities, BYOD, the Data Management Framework (DMF), and OData endpoints. A deep understanding of tables, entities, and staging concepts is crucial.
- What are the core Microsoft Fabric components involved in this role?
- You will be working with Microsoft Fabric's Lakehouse, Data Warehouse, Pipelines (Data Factory), and Dataflows Gen2 to design and implement data ingestion and transformation processes.
- What programming languages and tools are essential for this Microsoft Fabric Data Engineer role?
- Proficiency in SQL is essential, along with strong skills in data modeling and ETL/ELT design. Experience with OData APIs for data extraction is also a requirement.
- Does QZENSYS Solutions prefer candidates with Azure ecosystem experience for this role?
- Yes, a strong understanding of the Azure ecosystem, particularly Azure Data Factory, is preferred. Azure Synapse experience is considered a nice-to-have.
- Are there specific finance domain experiences that are advantageous for this position?
- Experience working with finance domain datasets such as General Ledger (GL), Accounts Payable (AP), and Accounts Receivable (AR) is highly preferred.
- How can I apply for the Microsoft Fabric Data Engineer position at QZENSYS Solutions?
- Interested candidates are encouraged to reach out directly to HR representative Priya at 7338097992. You can also tailor your resume to highlight relevant skills and experience.
- What type of employment is offered for this Microsoft Fabric Data Engineer role?
- This role is described as freelance/contract work, indicating a flexible engagement for experienced professionals.