KPMG—Analyst-GDC (A1)

Job description

Description: Roles & responsibilities The Azure Data Engineer in GTS - DES is an entry-level position for fresh graduates from Campus. Individual will join the GDC Technology Solutions (GTS) team, supporting the Clients on Audit Data & Analytics 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. Individual will work under the guidance and support of seniors and managers within Data Engineering team, ERP teams and D&A development, primarily support on Big Data Analytics, Data Ingestion and insights and Data extraction and transformation, Key Responsibilities: Data Transformation & Integration 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 Workflow Development Participate in designing and managing simple data pipelines using Azure Data Factory and Databricks. Apply basic optimization techniques for data processing as directed. Quality & Compliance Ensure adherence to audit methodology and data governance standards Maintain documentation for processes and workflows Deliver high quality deliverables to US Audit teams Requirements: This role is for you if you have the below Education Requirements B. Tech/B.E/MCA (CSIT/EE/EEE/ME) Work experience 0-2 years Responsibilities: Roles & responsibilities The Azure Data Engineer in GTS - DES is an entry-level position for fresh graduates from Campus. Individual will join the GDC Technology Solutions (GTS) team, supporting the Clients on Audit Data & Analytics 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. Individual will work under the guidance and support of seniors and managers within Data Engineering team, ERP teams and D&A development, primarily support on Big Data Analytics, Data Ingestion and insights and Data extraction and transformation, Key Responsibilities: Data Transformation & Integration 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 Workflow Development Participate in designing and managing simple data pipelines using Azure Data Factory and Databricks. Apply basic optimization techniques for data processing as directed. Quality & Compliance Ensure adherence to audit methodology and data governance standards Maintain documentation for processes and workflows Deliver high quality deliverables to US Audit teams Mandatory technical & functional skills Basic understanding of: Azure Databricks, Azure Data Factory, PySpark, and Python. SQL and notebook development; RDBMS; Visualization tool - PBI Azure Data Lake Storage (ADLS) concepts Basic knowledge of Gen AI Enabling Skills Strong analytical and problem-solving abilities. Attention to detail and willingness to learn. Effective communication and collaboration skills. Ability to work in a dynamic environment and deliver within timelines. Flexibility to work on different projects/technologies. Eagerness to collaborate with business stakeholders to understand data requirements.