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Infosys in Bengaluru, India is seeking a data engineering professional to design and develop ETL/ELT pipelines using Azure Data Factory and Databricks, and to integrate data from SQL Server, ADLS, APIs, and third-party sources into scalable data lakes and Azure data warehouses.
You will monitor pipelines, troubleshoot failures and performance bottlenecks, enforce data quality and governance, and document technical solutions to support deployment and operations.
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.