IN_Senior Associate_Azure Data EngineXer with Microsoft Fabric Analytics Engineer_GCC_Advisory_Bangalore
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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain scalable data pipelines and integration solutions using Azure Data Factory and Microsoft Fabric.
Build and optimize Lakehouse and Data Warehouse solutions leveraging Azure Data Services and Microsoft Fabric workloads.
Ensure data quality, security, and governance while collaborating with cross-functional teams to deliver data platforms for business insights.
Minimum Requirements
Minimum 5+ years of hands-on experience in data engineering and analytics.
Proficiency in Azure Data Services including Azure Data Factory, Azure Synapse Analytics, ADLS Gen2, and Azure SQL Database.
Experience with Microsoft Fabric workloads: Data Engineering, Lakehouse, Notebooks, Data Warehouse, Data Pipelines, OneLake.
Preferred certifications: Azure Data Engineer Associate (DP-203) and Fabric Analytics Engineer Associate (DP-600/DP-700).
Education: Bachelor’s or Master’s in Engineering/Technology or MBA/MCA with 60%+.
Ideal Candidate Profile
Experienced in building enterprise-level data platforms using both Azure native services and Microsoft Fabric technologies.
Familiar with implementing medallion architecture (Bronze, Silver, Gold) and advanced data modeling techniques (star/snowflake schemas).
Comfortable working in Agile/Scrum teams, knowledgeable about CI/CD for data engineering, and versed in data governance best practices.