About the job : Role : Microsoft Fabric Data EngineerExperience : 6+ years as Azure Data Engineer including at least 1 E2E Implementation in Microsoft Fabric.Responsibilities :
- Develop and optimize ETL/ELT processes within the Microsoft Azure ecosystem, effectively utilizing relevant Fabric solutions.
- Ensure data integrity, quality, and governance throughout Microsoft Fabric environment.
- Collaborate with stakeholders to translate business needs into actionable data solutions.
- Troubleshoot and optimize existing Fabric implementations for enhanced performance.Skills :
- Solid foundational knowledge in data warehousing, ETL/ELT processes, and data modeling (dimensional, normalized).
- Design and implement scalable and efficient data pipelines using Data Factory (Data Pipeline, Data Flow Gen 2 etc) in Fabric, Pyspark notebooks, Spark SQL, and Python. This includes data ingestion, data transformation, and data loading processes.
- Experience ingesting data from SAP systems like SAP ECC/S4HANA/SAP BW etc will be a plus.
- Nice to have ability to develop dashboards or reports using tools like Power BI.Coding Fluency :

Keyskills: Microsoft Fabric Azure Data Factory Data Ingestion Data Engineering Data Pipeline Data Management Azure Databricks Spark ETL SQL Python