Data Engineer

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.

1. Perform data extraction, transformation, and loading (ETL) using Azure Databricks, Azure Data Factory, and PySpark.
2. Develop and maintain Python/PySpark notebooks for business logic implementation.
3. Integrate data from ERP systems (SAP, Oracle, Microsoft Dynamics) and other sources into Azure-based workflows.

1. 2–3 years in data engineering with strong exposure to Azure Databricks, Azure Data Factory, PySpark, and Python.
2. Proficiency in Azure, DataBricks Notebooks, SQL, Python or Pyspark notebooks development.
3. Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS)
4. Knowledge of Azure cloud services
5. Experience in Alteryx and PowerBI for data analysis and visualization purpose.
6. Microsoft Fabric and Azure AI services is an added advantage