Description

You will design and implement end-to-end data architectures using Microsoft Fabric. You own the development of Lakehouse, Data Warehouse, and Data Pipelines while ensuring data quality, governance, and security.

Responsibilities

• Build and optimize ETL/ELT pipelines using Fabric Data Factory.
• Integrate data from multiple sources including SQL, APIs, and cloud storage.
• Support Power BI semantic models and reporting solutions.
• Collaborate with business stakeholders and engineering teams to define best practices.
• Provide technical guidance for analytics solutions.

Required Skills

• 6+ years of experience in Data Engineering or Data Architecture.
• Strong hands-on experience with Microsoft Fabric.
• Proficiency in SQL, Python, and Spark.
• Expertise in Azure Data Services (ADLS, Azure SQL, Synapse).
• Strong understanding of data modeling (star/snowflake schemas).
• Experience with Power BI and semantic models.
• Knowledge of data security, governance, and monitoring.

Preferred Skills

• Microsoft Fabric or Azure certifications.
• Experience with real-time analytics.
• Exposure to DevOps / CI-CD for data workloads.

Key Skills

Education

Any Gradute