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 Qualified 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) Professional (Karnataka)
🏢 Infosys
📍 Karnataka