Microsoft Fabric or Azure Data Lake Storage Professional
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Description
Job Summary
Azure data engineer ..
Key Responsibilities- Design and develop scalable data pipelines using Microsoft Fabric Pipelines or Azure Data Factory (ADF).
- Build and manage data transformations using Fabric Notebooks or Azure Databricks (PySpark/SQL).
- Implement and maintain Lakehouse architecture in Microsoft Fabric or Azure Data Lake Storage (ADLS).
- Develop and optimize ETL/ELT workflows for structured and semi-structured data.
- Work with Delta Lake, Parquet, and other modern storage formats.
- Perform data modeling and optimization for analytics workloads.
- Ensure data quality, governance, and performance tuning.
- Collaborate with business and BI teams to deliver data for reporting and analytics.
- Support Power BI datasets, data models, and basic report optimization (secondary responsibility).
- Monitor and troubleshoot data pipelines and resolve performance issues.
- 3+ years of experience in Data Engineering.
- Strong hands-on experience with either of the following technology stacks: Microsoft Fabric and Power BI
- Strong hands-on experience with Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure Databricks, and Power BI
- Good knowledge of PySpark / Spark SQL
- Good knowledge of SQL (T-SQL or equivalent)
- Good knowledge of data warehousing concepts (Star/Snowflake schema)
- Good knowledge of Lakehouse architecture
- Good knowledge of Delta Lake
- Experience with data ingestion and processing
- Understanding of CI/CD and deployment in Fabric & Azure
- Need more fabric experince