Data Engineer
First seen by Alion on Oct 15, 2026.
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
Notice Period : Immediate joiners to 15 days
Locations : Bengaluru, Hyderabad, Pune
Skills
Data Engineering, Microsoft Fabric, Databricks, Python, SQL, PySpark, Delta Lake, ETL, DataLake