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.
- Robust 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.

📌 Data Engineering & BI Analytics (Bengaluru)
🏢 Careernet
📍 Bengaluru