Service Line

Data Analytics Unit

Responsibilities

- Design and develop ETL/ELT pipelines using Azure Data Factory (ADF).
- Build and optimize data processing workflows using Azure Databricks (PySpark/Spark SQL).
- Integrate data from various sources such as SQL Server, Azure SQL, ADLS, APIs, and third-party applications.
- Implement data transformation, cleansing, and validation processes.
- Develop and maintain data lakes and data warehouse solutions on Azure.
- Monitor and troubleshoot pipeline failures, performance bottlenecks, and data quality issues.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Implement security, governance, and best practices for data management.
- Create technical documentation and support deployment activities.

Educational Requirements
- BSc
- BCA
- BTech
- MCA
- MTech
- MSc

Preferred Skills
- Technology->Cloud Integration->Azure Data Factory (ADF)
- Technology->Data Engineering->Databricks

📌 ADF, Databrick Professional (Bengaluru)
🏢 Infosys
📍 Bengaluru