Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain scalable data solutions using Microsoft Fabric components including Lakehouse, OneLake, Data Warehouse, and Data Factory.
Build and optimize ETL/ELT pipelines, data transformation workflows with Python, PySpark, SQL, and Fabric Notebooks integrating multiple enterprise data sources.
Implement and support deployment including CI/CD for Microsoft Fabric workloads, ensuring data quality, validation, and performance optimization.
Minimum Requirements
3+ years of Data Engineering experience with Azure Data Platform and Microsoft Fabric.
Hands-on expertise with Fabric Data Factory, Pipelines, Dataflows Gen2, OneLake, Fabric Lakehouse, Data Warehouse, and Notebooks.
Proficient in SQL/T-SQL, Python, PySpark, ETL/ELT development, data modelling, and integration of REST APIs.
Familiarity with Azure ecosystem components like Azure Data Factory, Azure SQL, ADLS, Azure Synapse and experience with Delta Lake and Medallion Architecture.
Ideal Candidate Profile
Has practical experience building and deploying Microsoft Fabric solutions end-to-end, beyond certifications or theory.
Comfortable explaining architecture, pipelines, transformations, and Fabric components they personally implemented.
Experienced in integrating multiple data sources, optimizing data models for analytics, and supporting enterprise-scale data platforms.