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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and optimize scalable data pipelines and enterprise data solutions using Microsoft Azure data services including Azure Synapse Analytics and Microsoft Fabric.
Build and maintain Data Lake, Lakehouse, and Data Warehouse architectures with focus on migration and modernization initiatives between traditional Azure architectures, Azure Synapse, and Microsoft Fabric.
Collaborate with cross-functional teams including data architects, Power BI developers, and DevOps engineers to deliver secure, high-performing enterprise data platforms.
Minimum Requirements
Strong hands-on experience with Microsoft Azure data services, Azure Synapse Analytics, and/or Microsoft Fabric.
Proficiency in Python, PySpark, Spark SQL for data processing and pipeline development.
Work Experience Required: Not explicitly mentioned in the JD.
Work Location: Bangalore, Karnataka, India; Remote work USA mentioned but location specified is India.
Ideal Candidate Profile
Experienced in designing and implementing enterprise-scale ETL/ELT data integration pipelines using Azure Data Factory, Synapse Pipelines, and Fabric Data Factory.
Familiar with modern data architectures including Data Lake Storage Gen2, Microsoft OneLake, Delta Lake, and dimensional data modeling (Star/Snowflake schemas).
Demonstrated capability to support data platform migration and modernization projects within the Microsoft Azure ecosystem.