Description

You will build and maintain the core ETL data platform.

Responsibilities

• Design and implement ETL pipelines using Microsoft Fabric and Azure Data Factory.
• Build and maintain a metadata driven Lakehouse architecture supporting multiple consumption patterns.
• Develop agent specific data lakes and an orchestration layer for cross-agent querying.
• Enable interactive data consumption via Power BI and Azure OpenAI integration.
• Ensure data quality, lineage, and governance across all ingestion and transformation processes.

Required Skills

• 7+ years of experience in data engineering focused on Microsoft Azure Data stack and Fabric.
• Expertise in Microsoft Fabric (Lakehouse, Dataflows Gen2, Pipelines, Notebooks).
• Strong experience with Azure Data Factory, Azure SQL, and Azure Data Lake Storage Gen2.
• Proficiency in SQL, Python, and PySpark/Scala.
• Experience handling structured and semi-structured data (JSON, XML, CSV, Parquet).
• Proven ability to build metadata driven architectures and reusable components.
• Strong understanding of data modeling, data governance, and security best practices.

Key Skills

Education

Any Graduate