Overview
Job Description
The Azure Data Engineer in GTS - DES is an entry-level position for fresh graduates from premium engineering institutes. You will join the GDC Technology Solutions (GTS) team, supporting clients in the Data & Analytics Audit/Financial domain. This role is designed for individuals eager to learn and develop foundational skills in ETL, building data pipelines, and Data Engineering Services on the 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 by coordinating with the client's IT teams and other technical leads.
- Perform ETL services from systems (SAP/Oracle/Microsoft Dynamics or others) into the KPMG proprietary tool, understanding the data from functional and technical perspectives to resolve issues that arise while processing.
- Develop a 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 the resolution of basic issues under the guidance of seniors.
Development
- Design, code, verify, test, document, amend, and refactor simple programs/scripts, applying agreed standards and tools to achieve a well-engineered result.
- Review your own work.
- Assist in the 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 with Azure, Databricks, PySpark, SQL Server, Power BI.
- MS BI - SSIS, SSAS.
- Database architecture and RDBMS concepts.
- Visualization tools like Power BI Desktop.
- Programming skills in Python or any other programming software.
- Good understanding of Gen AI and working experience is preferred.
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Education Requirements
- BE/B.Tech/MCA from Premium institutes like IITs and Dual degree (B.Tech+ MBA) from IITs, NMIMS etc.
Eligible Batch Years
KPMG
KPMG is one of the world's leading professional services firms, forming part of the 'Big Four' alongside Deloitte, EY, and PwC. Founded in 1987 through the merger of Klynveld Main Goerdeler (KMG) and Peat Marwick International, KPMG operates as a global network of independent member firms providing audit, tax, and advisory services. With a presence in over 145 countries and territories, KPMG employs more than 270,000 professionals, serving clients ranging from multinational corporations and governments to small and medium-sized enterprises.
The firm's mission is to inspire confidence and empower change by delivering high-quality professional services that help organizations navigate complex business challenges. KPMG is recognized for its commitment to integrity, innovation, and sustainability, with initiatives focused on digital transformation, ESG (environmental, social, and governance) advisory, and diversity and inclusion. In recent years, KPMG has invested heavily in technology-driven solutions, including advanced analytics and AI-powered tools, to enhance client outcomes and maintain its competitive edge in the global market.
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