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Strong Big Four brand, mid-level generalist data engineer in Bangalore with Azure skills increases applicant competition.
Domain-specific Azure Fabric and Databricks expertise reduce cross-industry transferability moderately.
Explicit years and mandatory Azure/Databricks/Python skills create strict technical filters.
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Design, build, and maintain data infrastructure using Azure cloud services including data pipelines and integration from multiple sources.
Develop and deploy ETL solutions using Azure services like Azure Data Factory, Synapse Analytics, and Microsoft Fabric.
Monitor, troubleshoot, and optimize data flows, storage, and processing for performance and cost efficiency.
Bachelor’s or higher degree in Computer Science or related discipline; or 3+ years equivalent work experience.
Minimum 1+ years consulting/client service delivery experience in Azure Microsoft data engineering.
At least 1+ years hands-on experience with Azure services including Fabric, Databricks, Python, SQL, ADLS/Blob storage, and RDBMS.
Experience developing data ingestion, ETL pipelines, and data transformation using Azure Data Factory, Synapse, and Microsoft Fabric notebooks.
Experienced in building medallion architecture and metadata-driven ingestion frameworks on Microsoft Fabric.
Familiar with Azure security mechanisms such as RBAC and IAM, ensuring secure data access and governance.
Has exposure or certification in Microsoft Azure data engineering and related AI technologies (e.g., DP600, DP203, knowledge of Microsoft Co-pilot or Gen AI fundamentals).