Back
Popular mid-level Data Engineer role with broad Azure/Spark skills increases applicant competition.
Core Azure, Spark, and SQL skills are highly transferable across industries.
Explicit 3–5 years and mandatory Azure Fabric, ADF, Spark, and SQL skills create rigid shortlisting filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and maintain integrated reporting data marts to support enterprise reporting and self-service BI.
Lead data warehouse modernization by converting legacy SQL transformations into scalable Spark-based solutions on Microsoft Fabric.
Manage data ingestion from multiple ERP sources ensuring standardized, reconciled, and scalable data models optimized for Power BI and analytics.
Bachelor’s degree in Computer Science, Information Technology, Engineering or related field.
3–5 years work experience in architecting and maintaining scalable ETL/ELT pipelines, focused on Azure Data Factory and Microsoft Fabric.
Advanced SQL skills with experience in T-SQL, stored procedures, query optimization and ability to translate SQL to Spark SQL/PySpark.
Proficient with Microsoft Azure Data Factory, Microsoft Fabric ecosystem, Spark SQL, Python programming and Power BI data modeling.
Experience working with Medallion Architecture data warehousing and dimensional modeling (star/snowflake schemas).
Proven ability to collaborate across cross-functional teams including ERP, BI, and business stakeholders for data solution delivery.
Familiarity with Agile Scrum methodologies, Azure DevOps CI/CD pipelines, and use of AI-enabled tools for ETL development and optimization in Microsoft Fabric ecosystem.