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Protocol Intelligence
Data-driven signals on your job's competitivenessRemote, mid-level generalist Data Analyst role with popular title and broad requirements increases candidate competition.
Core data engineering skills transfer across industries, but Microsoft Fabric/Azure emphasis raises sector specificity.
Explicit 3–7 years requirement plus Microsoft Fabric and Azure skills make shortlisting relatively strict.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain end-to-end data pipelines using Microsoft Fabric Data Factory and Azure services.
Create and optimize data warehouse and lakehouse architectures, including Bronze, Silver, and Gold layers, with dimensional modeling (Fact and Dimension Tables).
Develop scalable ETL/ELT processes, SQL queries, and Python scripts to support Power BI analytics and ensure data quality and governance.
Minimum Requirements
3-7 years experience in Data Analytics, Data Engineering, or Business Intelligence.
At least 2 years hands-on experience with Microsoft Fabric or Azure-based analytics platforms.
Proven experience with Fact and Dimension Tables, data pipelines, Power BI datasets, Delta Tables, and Apache Spark.
Not explicitly mentioned: Specific educational degree, notice period, or location requirements.
Ideal Candidate Profile
Experienced in Microsoft Azure Data Services and Microsoft Fabric environment, comfortable with CI/CD and Git workflows.
Skilled in dimensional data modeling and optimizing models for analytical performance.
Familiar with data governance, lineage, and automation of data quality checks using Python and SQL.