Back
Mid-level generalist data engineer role in a metro with common skills, increasing applicant competition.
Core data engineering skills are transferable, but Microsoft Fabric/Azure specificity reduces fit slightly.
Explicit 4–6 years and mandatory Microsoft Fabric/Azure stack create high shortlisting strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and maintain Microsoft Fabric Lakehouse environments and scalable data ingestion/transformation pipelines.
Develop and optimize Delta Tables and implement Medallion Architecture (Bronze, Silver, Gold layers) to support analytics, data quality, and governance.
Collaborate with BI teams to support Power BI semantic models and ensure data consistency, quality, and accuracy.
4-6 years of experience in data engineering or related field.
Graduate degree in Computer Science, Data Science, or a related field.
Proficiency with Microsoft Fabric components including OneLake, Lakehouse, Data Factory, Data Pipelines, and notebook development.
Strong skills in PySpark, Spark SQL, SQL, Delta Lake, and Azure Data Services including Azure Data Lake Storage and preferably Azure Synapse Analytics.
Experienced in large-scale enterprise data transformation and integration projects using Microsoft Fabric and Azure Data platforms.
Familiar with modern data architectures such as Medallion Architecture, Data Mesh, and data governance frameworks.
Has practical experience supporting analytics and AI/ML data preparation with a focus on performance tuning and data quality.