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)
Robust 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