Executive-GDC (Data Engineer)
KPMG (company site, opens in a new tab)0–3 yrsBengaluru, HyderabadOn-siteDirect career pageEst. 4–10 LPA
Posted on 28 Sept
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Job description
Structured overview of role & requirements
About This Role
- Support data extraction, transformation, and loading (ETL) using Azure Data Factory and Databricks under senior guidance.
- Develop and maintain Python/PySpark notebooks; integrate data from ERP systems into Azure workflows for medium complexity clients.
- Assist audit teams with financial data analytics, developing routines, and resolving data processing issues in coordination with client IT.
Minimum Requirements
- Education: BE/B.Tech/MCA from premium institutes (IITs, NMIMS, etc.) including dual degree (B.Tech+MBA).
- Work Experience: 0-3 years, entry-level position aimed at fresh graduates.
- Technical Skills: Azure, Databricks, PySpark, SQL Server, Power BI, MS BI (SSIS, SSAS), Python or similar programming.
- Preferred Knowledge: Database architecture, RDBMS concepts; good understanding of Gen AI and experience preferred.
Ideal Candidate Profile
- Entry-level candidate with foundational skills and eagerness to develop in ETL and Azure cloud-based data engineering services.
- Comfortable working under senior supervision, supporting medium complexity client engagements and coordinating with client IT teams.
- Focused on gaining proficiency in financial audit data analytics sub-modules like journal entry testing, sub-ledger analysis (O2C, P2P).