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Big-Four brand, metro locations, mid-level generalist Azure data role, and common skills drive high competition.
Azure data engineering skills are transferable, but consulting and Fabric specialization add moderate domain bias.
Mandatory Azure consulting experience and specific Azure tech stack create strict shortlisting.
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Design, build, and maintain data infrastructure using Azure cloud services for data pipelines and integration.
Implement data ingestion, ETL, and data processing solutions using Azure services including Fabric, ADLS, Data Factory, Databricks, and Synapse.
Monitor and troubleshoot data flows while optimizing data storage and processing for performance and cost efficiency.
Bachelor's degree in Computer Science or related discipline OR minimum 5+ years of relevant work experience.
At least 3+ years consulting or client service delivery experience specifically in Azure Microsoft data engineering.
Minimum 1+ years hands-on experience with Azure Big Data technologies (Fabric, Databricks, Python, PySpark, SQL, ADLS/Blob) and relational databases.
Experience with Developer tools like Azure DevOps, Visual Studio Team Server, Git.
Experienced in developing and deploying ETL solutions on Azure cloud using ADF, Synapse analytics, Azure functions, and Microsoft Fabric services.
Familiar with advanced data architectures such as medallion architecture and metadata-driven ingestion frameworks.
Knowledgeable about Azure security controls (RBAC, IAM) and capable of generating business insights via Power BI and related reporting tools.