Educational Requirements

Bachelor of Engineering,Bachelor Of Comp. Applications,Bachelor Of Computer Science,Bachelor Of Science,Bachelor Of Technology

Service Line

Data Analytics Unit

Responsibilities

- Design and implement data solutions using Microsoft Fabric (Lakehouse, Warehouse, Data Factory, Power BI).

- Build and manage data pipelines for ingestion, transformation, and orchestration.

- Work with Azure Subscription services such as Azure Data Lake, Azure SQL, and Azure Synapse components within Fabric.

- Develop and optimize SQL queries and data models.

- Perform data transformation using Notebooks (PySpark / Python) and Dataflows Gen2.

- Ensure data quality, governance, and security using Fabric capabilities.

- Integrate data from multiple sources (APIs, databases, files, streaming).

- Collaborate with business and analytics teams to deliver reporting solutions.

- Monitor and troubleshoot pipeline and performance issues.

Additional Responsibilities:





- Exposure to Power BI for reporting and visualization

- Experience with CI/CD in Azure DevOps

- Knowledge of data governance, security, and access control

- Familiarity with real-time/streaming pipelines

- Understanding of Delta Lake / Lakehouse architecture

Technical and Skilled Requirements:

- Hands-on experience with Microsoft Fabric (Lakehouse / Warehouse / Data Factory)

- Strong SQL and data query optimization skills

- Experience with Azure ecosystem (ADLS, Azure SQL, Synapse, ADF concepts)

- Knowledge of data engineering concepts (ETL/ELT, pipelines, orchestration)

- Experience with PySpark / Python / Notebooks

- Understanding of data modeling and analytics architecture

Preferred Skills:

- Technology->Microsoft Technologies->Microsoft Fabric

📌 Microsoft Fabric (Azure Subscription) (Bengaluru)
🏢 Infosys
📍 Bengaluru