Roles & responsibilities The Azure Data Engineer in GTS - DES is an entry-level position for fresh graduates from premium Engineering institutes. Individual will join the GDC Technology Solutions (GTS) team, supporting the Clients in Data & Analytics Audit/ Financial domain. This role is designed for individuals eager to learn and develop foundational skills in ETL, building data pipelines, Data Engineering Services on Azure cloud platform Assist in data extraction, transformation, and loading (ETL) using Azure Data Factory and Databricks under senior support Support the development and maintenance of Python/PySpark notebooks for basic business logic. Help integrate data from ERP systems (SAP, Oracle, Microsoft Dynamics) into Azure-based workflows Support Audit teams on Financial D&A and insights using multiple technologies Support clients with medium complexity and data size and strive to pick up complex clients Assist Audit engagement teams in data extraction process by coordinating with the Client’s IT teams and other technical leads ETL Services (SAP/Oracle/Microsoft Dynamics or others) systems into the KPMG proprietary tool and understand the data from functional and technical perspectives to resolve issues that arise while processing the data Develop proficient understanding of D&A tools and capabilities with a focus on one or two sub-modules such as Journal entry testing, Sub-ledger analysis around O2C, P2P etc. Strive to contribute to resolution of basic issues under the guidance of the Seniors Development Designs, codes, verifies, tests, documents, amends, and refactors simple programs/scripts. Applies agreed standards and tools, to achieve a well-engineered result. Reviews own work Assist in development of operational and/or engagement team related routines in the chosen technology Assist in practice development initiatives. Roles & responsibilities The Azure Data Engineer in GTS - DES is an entry-level position for fresh graduates from premium Engineering institutes. Individual will join the GDC Technology Solutions (GTS) team, supporting the Clients in Data & Analytics Audit/ Financial domain. This role is designed for individuals eager to learn and develop foundational skills in ETL, building data pipelines, Data Engineering Services on Azure cloud platform Assist in data extraction, transformation, and loading (ETL) using Azure Data Factory and Databricks under senior support Support the development and maintenance of Python/PySpark notebooks for basic business logic. Help integrate data from ERP systems (SAP, Oracle, Microsoft Dynamics) into Azure-based workflows Support Audit teams on Financial D&A and insights using multiple technologies Support clients with medium complexity and data size and strive to pick up complex clients Assist Audit engagement teams in data extraction process by coordinating with the Client’s IT teams and other technical leads ETL Services (SAP/Oracle/Microsoft Dynamics or others) systems into the KPMG proprietary tool and understand the data from functional and technical perspectives to resolve issues that arise while processing the data Develop proficient understanding of D&A tools and capabilities with a focus on one or two sub-modules such as Journal entry testing, Sub-ledger analysis around O2C, P2P etc. Strive to contribute to resolution of basic issues under the guidance of the Seniors Development Designs, codes, verifies, tests, documents, amends, and refactors simple programs/scripts. Applies agreed standards and tools, to achieve a well-engineered result. Reviews own work Assist in development of operational and/or engagement team related routines in the chosen technology Assist in practice development initiatives. Mandatory technical & functional skills Good/ working experience of below technologies Azure, Data Bricks, PySpark, SQL Server, Power BI, MS BI - SSIS, SSAS Database architecture and RDBMS Concepts Visualization tools Power BI Desktop Programming skills on Python or any other programming software Good understanding on Gen AI and working experience is preferred This role is for you if you have the below Educational qualifications BE/B.Tech/MCA from Premium institutes like IITs and Dual degree (B.Tech+ MBA) from IITs, NMIMS etc. Work experience: 0-3 years