MS Fabric - 15 May (Friday)- Virtual Interview - Pan India

Job description

- **Pipeline Orchestration:** Use **Fabric Data Factory** to orchestrate Azure Databricks jobs ( Python scripts). - **Lakehouse Implementation:** Design and maintain using **Delta Lake**. - **Data Integration:** Land data from Databricks directly into **Fabric OneLake** or create shortcuts to access Databricks Delta files without moving data. - **ETL/ELT Development:** Develop high-performance processing applications using **PySpark**, **Spark SQL**, and **Python**. **Key Technical Skills** - **Cloud Platforms:** Deep expertise in the Azure Data Stack, specifically **Azure Data Lake Storage (ADLS)** and **Azure Synapse**. - **Languages:** Proficiency in **Python**, **SQL**, and occasionally **Scala** or **Java** for custom Spark development. - **Fabric Tools:** Hands-on experience with **Fabric Lakehouse**, Data Warehouse, and **Power BI** integration (Direct Lake mode). - **DevOps:** Familiarity with **CI/CD pipelines** (Azure DevOps/GitHub Actions) for automating data workload deployments. [1, 2, 3, 4, 5, 6, 7] **Qualifications & Experience** - **Experience:** Typically **5++ years** for mid-level and **5-8+ years** for SenioR Data Engineer roles.