Xebia - Data Engineer - Azure/Microsoft Fabric (4-8 yrs)

Experience Level : 4-8 Years of hands-on experience with Microsoft Azure/Fabric solutions (Data Factory, Databricks, Synapse, Data Lake (One Lake) and Azure SQL) along with Python, Pyspark is a must.

Roles and Responsibilities :

- Design and implement end-to-end Microsoft Azure/Fabric solutions, including data integration, transformation, and analytics.

- Proficiency with Azure services such as Data Factory (ADF), Databricks, Synapse, Data Lake (One Lake), and Azure SQL.

- Develop and optimize pipelines for data ingestion using Microsoft Fabric's Data Factory capabilities.

- Proficiency in Microsoft Fabric's Notebook for developing Apache Spark jobs.

- Hands-on experience with Python, PySpark and SparkSQL/TSQL for data transformations.

- Advanced SQL skills and proficiency in data integration techniques, ETL/ELT processes, and data pipeline architectures.

- Extensive knowledge of MS Fabric components like: Lake houses, One Lake, Data Pipelines, Real-Time Analytics, Power BI Integration, Semantic Model.

- Build and maintain data models and visualizations in Microsoft Fabric for advanced reporting and analytics.

- Collaborate with stakeholders to understand business requirements and translate them into scalable solutions.

- Integrate Microsoft Fabric with other platforms such as Power BI, Data Lake.

- Monitor, troubleshoot, and resolve issues in Microsoft Fabric environments to ensure performance and reliability.

- Provide training and documentation to end-users on Microsoft Fabric tools and best practices.

- Stay updated with the latest Microsoft Fabric features and enhancements to leverage them effectively.