Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Medium due to strong Deloitte brand but niche Azure Fabric specialization reduces broad applicant pool.
High because Microsoft Fabric and Azure data engineering expertise is platform-specific and less transferable.
High due to numerous mandatory Azure Fabric, Spark, and production data engineering requirements.
Lead end-to-end design and delivery of Microsoft Fabric and Azure data-engineering solutions including ingestion frameworks and secure access patterns.
Optimize performance and capacity of Fabric components, Spark processing, SQL workloads, pipelines, and Power BI integration.
Guide migration from Azure Synapse, Data Factory, Databricks, or legacy platforms to Fabric; mentor junior engineers and lead technical troubleshooting.
Strong hands-on expertise in Azure data engineering and Microsoft Fabric.
Advanced SQL, Python, and PySpark development skills required.
Experience with Lakehouse, One Lake, Delta Lake, Data Factory, Fabric Warehouse, and Power BI integration.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in designing scalable architectures for data lakes, warehouses, and medallion patterns in Azure ecosystems.
Proven ability to own production implementations, perform root-cause analysis, and lead technical teams effectively.
Familiarity with CI/CD, Git branching, cloud security, data governance, and Infrastructure as Code in Azure environments.