Data Engineering & BI Analytics

Key Skills: Microsoft Fabric, Azure Data Factory, Azure Databricks, SQL Server, OneLake, Lakehouse, PySpark, ETL, Data Engineering

Roles & Responsibilities:

• Design and implement ETL workflows in Microsoft Fabric, including data ingestion, transformation, and orchestration.
• Build and manage Lakehouse architecture, OneLake, and data models for analytics.
• Optimize data processing performance using PySpark and distributed computing techniques.
• Establish data quality, governance, security, and monitoring across data pipelines.
• Lead technical delivery, data migration, and solution design for BI analytics projects.

Experience Required:

• 5-12 years of experience in Data Engineering and BI Analytics.
• Strong experience with Microsoft Fabric, ETL development, and data pipelines.
• Hands-on experience with OneLake, Lakehouse, and SQL Server.
• Experience with data orchestration, governance, and secure data processing.
• Good to have experience with Azure Databricks, PySpark, and Azure Data Factory.

Education: B.E.