Data Engineer KPMG - Hiring 2025
Posted on:December 09, 2025
Explore the latest KPMG jobs 2025 and find exciting career opportunities. KPMG is currently hiring for Experienced professionals. This vacancy is entitled as a Bangalore jobs, offcampus jobs in KPMG, and also explore all other Data Engineer KPMG - Hiring 2025 listings. Don't miss this chance to kickstart your career with KPMG today. All eligible candidates are advised to apply for this job as soon as possible. For more information kindly go through the below details.
AboutKPMG
Data Engineer KPMG - Hiring 2025
KPMG entities in India are established under the laws of India and are owned and managed (as the case may be) by established Indian professionals. Established in August 1993, the KPMG entities have rapidly built a significant competitive presence in the country. Today we operate from offices across 14 cities including in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.
Our differentiation is derived from a rapid performance-based, industry-tailored and technology-enabled business advisory services delivered by some of the leading talented professionals in the country. KPMG professionals are grouped by industry focus and our clients are able to deal with industry professionals who speak their language. Our internal information technology and knowledge management systems enable the delivery of informed and timely business advice to clients.
Job Details
| Company | KPMG |
|---|---|
| Position | Data Engineer |
| Location | Bangalore |
| Job Type | Full Time |
| Experience | Experienced |
| Website | https://kpmg.com/in/en.html |
Qualifications
- 2–3 years in data engineering with strong exposure to Azure Databricks, Azure Data Factory, PySpark, and Python.
- Proficiency in Azure, DataBricks Notebooks, SQL, Python or Pyspark notebooks development.
- Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS)
- Knowledge of Azure cloud services
- Experience in Alteryx and PowerBI for data analysis and visualization purpose.
- Microsoft Fabric and Azure AI services is an added advantage
Responsibilities
- Perform data extraction, transformation, and loading (ETL) using Azure Databricks, Azure Data Factory, and PySpark.
- Develop and maintain Python/PySpark notebooks for business logic implementation.
- Integrate data from ERP systems (SAP, Oracle, Microsoft Dynamics) and other sources into Azure-based workflows.
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