A Microsoft Fabric Data Engineer to accelerate a backlog of data engineering initiatives. The role involves
building ingestion pipelines, implementing transformation logic, and ensuring data readiness for financial
reporting workflows.
This position is critical for enabling application modernization efforts to integrate cleanly with Fabric.
Key responsibilities
Design and build ingestion pipelines in Microsoft Fabric
Develop data transformations using Spark / PySpark
Build and manage Lakehouse / Warehouse structures
Implement Dataflows Gen2
Design data quality and reconciliation frameworks
Optimize Fabric capacity usage and performance
Integrate ACA applications with Fabric pipelines
Collaborate with application teams to define data contracts
Monitor Fabric using Monitor Hub capacity metrics
Ensure data readiness SLAs are met
Key competencies
Required Skills
Fabric Expertise
o Lakehouse architecture
o Pipelines
o Notebooks (Spark)
o Semantic models
o Delta format
o Dataflows Gen2
o Capacity management
Data Engineering
o PySpark
o SQL
o Data modeling
o ETL/ELT design
o Data validation frameworks
Azure Integration
o Event Hub / Service Bus
o Managed Identity
o Secure integration patterns
Nice to Have
Experience in integrating Salesforce data
Exposure to Oracle / accounting system integrations
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
📌 Microsoft Fabric Data Engineer - Senior Associate (Gurugram)
🏢 Moodys Analytics
📍 Gurugram
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