KPMG Off Campus Drive 2026 | Freshers Hiring for Software Engineering Role

Freshers Recruitment; Pune District; On-site; INR 300,000 - 420,000; Full time

Job summary

KPMG India in Pune invites fresh B.E./B.Tech/M.Tech graduates for the Executive – Software Engineering role focused on data engineering and analytics. The position targets handling large datasets using PySpark, Python, and SQL within a finance‑tech context.

You will join a Big Four firm environment with opportunities to work on data pipelines, modeling, and CI/CD workflows, applying your knowledge of data quality and processing in banking analytics.

Qualifications

• Experience with large datasets and data analytics.
• Proficiency in Python with libraries such as Pandas and NumPy.
• Strong SQL skills for data extraction and transformation.
• Hands-on PySpark for large‑scale data processing.

Responsibilities

• Improve internal data processes by enhancing scalability and automation.
• Build and maintain data pipelines to deliver insights on business performance.
• Collaborate with product, design and leadership to solve data-related challenges.

Skills

Python

SQL

PySpark

Data Analytics

Hadoop

Education

B.E./B.Tech/M.Tech

Tools

Pandas

NumPy

CI/CD

Job description

KPMG Off Campus Drive 2026 | Freshers Hiring for Software Engineering Role

KPMG Off Campus Drive 2026 : It is now live! Its currently looking for candidates for the position of Executive – Software Engineering at its Pune office. This opportunity is open to engineering graduates and postgraduates who have a solid understanding of data analytics, along with hands‑on experience in Python, SQL, and PySpark.

If you’re a fresher or a recent graduate eager to start your career with one of the Big Four firms, this could be a great stepping stone. It’s an ideal role for those interested in working at the intersection of technology and finance, especially in data engineering and analytics.

• Company: KPMG India
• Role: Executive – Software Engineering
• Location: Pune, Maharashtra
• Qualification: B.E./B.Tech/M.Tech
• Experience Required: 0–1 year (Freshers can apply)
• Salary: Not disclosed
• Application Mode: Online
• Last Date: Apply as early as possible

Eligibility Criteria

To be considered for this role, candidates should have:

• Experience or strong understanding of working with large datasets and data analytics
• Good knowledge of Python, especially libraries like Pandas and NumPy
• Strong SQL skills for database handling and querying
• Hands-on experience with PySpark for large-scale data processing
• Basic understanding of Hadoop and related technologies
• Familiarity with core data engineering concepts and practices
• Knowledge of data modeling techniques such as normalization and denormalization
• Understanding of data quality, centralization, and cardinality
• Exposure to CI/CD tools and pipelines (a plus)

Banking Domain Knowledge (Preferred)

Candidates with exposure to banking analytics will have an advantage. This includes:

• Understanding of banking systems, financial products, and regulations
• Experience with ETL processes, statistical analysis, and data modeling
• Background in retail or corporate banking analytics
• Ability to analyze financial data such as transactions, loan performance, and reports
• Exposure to credit risk analysis and fraud detection
• Experience in managing and optimizing banking data systems

Functional Skils

• Improve internal processes by enhancing scalability, automating tasks, and optimizing data delivery
• Build analytical tools to generate insights on business performance and customer trends
• Work closely with teams like product, design, and leadership to solve data-related challenges
• Stay updated with the latest industry trends and technologies

Technical Skils

• Analyze large datasets to extract meaningful insights for decision-making
• Develop and maintain data pipelines using PySpark and related tools
• Write optimized SQL queries for data extraction and transformation
• Design and implement data models for efficient storage and access
• Ensure data accuracy through validation and cleansing techniques
• Collaborate with data teams to manage and centralize data systems
• Use CI/CD pipelines for smooth deployment and integration of data solutions

About KPMG in India

KPMG has been operating in India since 1993 and is part of the global KPMG network. The firm provides professional services across various industries and has a strong presence in multiple Indian cities including Bengaluru, Mumbai, Pune, Hyderabad, Chennai, and more. Their teams combine global expertise with deep knowledge of local markets and regulations.

FAQs for KPMG Recruitment 2026 Freshers

1. Who can apply for KPMG Off Campus Drive 2026?

Freshers and recent graduates with a B.E., B.Tech, or M.Tech degree from the 2024, 2025, or 2026 batches can apply. Candidates should have basic knowledge of data analytics, Python, and SQL.

2. What role is KPMG offering in this recruitment drive?

KPMG is hiring for the position of Executive – Software Engineering, which mainly focuses on data engineering, analytics, and working with large datasets.

3. Is prior work experience required for this role?

No, prior experience is not mandatory. Freshers can apply, although having internships or project experience in data-related technologies will be an added advantage.

4. What skills are important to get selected?

Strong understanding of Python, SQL, and PySpark is important. Knowledge of data modeling, Hadoop, and basic data engineering concepts will also help you stand out.

5. How can I apply for KPMG Recruitment 2026?

You can apply online through the official KPMG India careers page . It’s recommended to apply early as positions may close once filled.

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Guddi

Guddi is a Passionate Job Content Writer holding 5 years of Experience in this Industry.