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