About the Role :

We are looking for skilled Fabric / Databricks Data Engineers with strong hands-on experience in Microsoft Fabric and Azure Databricks. The ideal candidate will have expertise in end-to-end data engineering, particularly API-based data ingestion frameworks in Fabric and advanced Databricks capabilities.

Key Responsibilities :

- Design, develop, and maintain end-to-end data engineering solutions using Microsoft Fabric and Databricks.

- Build scalable API-based data ingestion frameworks in Microsoft Fabric.

- Develop and optimize data pipelines for data ingestion, transformation, and processing.

- Implement Databricks solutions using Delta Live Tables (DLT), Auto Loader, and Unity Catalog.

- Ensure data quality, security, governance, and pipeline reliability.

- Optimize data processing workflows and troubleshoot performance issues.

Required Skills :

- 5 - 8 years of relevant data engineering experience.

- Strong expertise in end-to-end Microsoft Fabric Data Engineering.

- Expert-level experience in API-based data ingestion frameworks within Fabric.

- Hands-on experience with Databricks, Delta Live Tables (DLT), Auto Loader, and Unity Catalog.

- Proficiency in SQL and Python/PySpark.

- Strong understanding of ETL/ELT, data transformation, and pipeline orchestration.

- Experience with Lakehouse architecture, Delta Lake, and data quality management.

- Knowledge of API integration, authentication, pagination, and error handling.

Preferred Qualifications :

- Experience integrating Microsoft Fabric with Databricks.

- Familiarity with Azure Data Lake Storage Gen2 and Azure services.

- Knowledge of CI/CD, Git, medallion architecture, data governance, and lineage.

- Strong analytical, problem-solving, and communication skills.

Job Details :

Experience : 5 - 8 years