Description

You will design and build scalable data solutions on Azure, focusing on Microsoft Fabric and traditional Azure services.

This role is on-site.

Responsibilities

• Design and develop data solutions using Microsoft Fabric, including Lakehouse, Data Pipelines, Dataflows Gen2, and Warehouse.
• Build scalable ingestion frameworks for batch and streaming using ADF, Databricks, or Fabric pipelines.
• Translate business requirements into technical architecture and detailed designs.
• Integrate Azure and Fabric datasets with Power BI semantic models and dashboards.

Required Skills

• 5+ years of professional experience in Data Engineering.
• Hands-on expertise in Azure Data Factory, Azure Databricks, Azure Data Lake Storage Gen2, Azure SQL, and Synapse.
• Proficiency in PySpark, SQL, and Python.
• Experience implementing medallion architecture and Delta lakes.
• Familiarity with CI/CD using Azure DevOps (Repos, Pipelines, Release Management).
• Experience working with Data Quality (DQ) frameworks and reconciliation logic.
• Knowledge of Microsoft Fabric and Power BI.

Preferred Skills

• Experience with advanced data modeling techniques.
• Strong understanding of data governance principles.

Key Skills

Education

Any Gradute