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KPMG Executive Software Engineering Jobs 2026 | Data Analytics & PySpark Hiring in Pune – Apply Now | Placement Officer
Detailed Summary
KPMG has announced exciting Executive
– Software Engineering Jobs 2026 in Pune for engineering graduates and
postgraduates interested in data analytics, data engineering, banking
analytics, Python, SQL, and PySpark technologies.
This role offers candidates the opportunity
to work with large-scale datasets, develop analytical solutions, optimize data
pipelines, and collaborate with product, design, executive, and data teams. The
position is ideal for freshers and early professionals who want to build a
career in data engineering, banking analytics, big data technologies, and
enterprise software solutions.
Candidates with strong Python, SQL,
PySpark, and analytical skills will have a strong advantage during the
recruitment process.
KPMG Executive Software Engineering Recruitment 2026 – Overview
|
Particulars |
Details |
|
Company Name |
KPMG India |
|
Job Role |
Executive –
Software Engineering |
|
Job Location |
Pune,
Maharashtra |
|
Employment
Type |
Full-Time |
|
Qualification |
Engineering
Graduate / Postgraduate |
|
Experience
Required |
Freshers
& Early Professionals |
|
Department |
Technology
& Data Analytics |
|
Industry |
IT Services
& Consulting |
|
Job Schedule |
Full-Time |
|
Expected
Salary |
₹6 LPA – ₹12 LPA (Estimated) |
|
Eligible
Batches |
2023, 2024,
2025 & 2026 |
About KPMG India
KPMG India Official Website is one of the world’s leading professional services firms providing
services in audit, tax, consulting, technology, analytics, and advisory
solutions.
KPMG operates globally and serves
clients across banking, healthcare, manufacturing, finance, retail, and
technology sectors.
KPMG India offers
technology-enabled and industry-focused solutions using advanced analytics,
automation, cloud technologies, and enterprise-scale engineering systems.
KPMG Executive Software Engineering Job Description
The Executive – Software
Engineering role at KPMG focuses on developing analytical solutions, managing
large datasets, supporting banking analytics initiatives, and improving
enterprise data infrastructure.
Selected candidates will work on:
·
Data analytics
projects
·
PySpark-based
data pipelines
·
SQL querying
and database management
·
Banking
analytics
·
Data modeling
and normalization
·
CI/CD pipeline
integration
·
Data quality
and validation processes
The role requires both technical
expertise and strong collaboration with multiple business stakeholders.
Key Responsibilities
Data Analytics & Insights
·
Analyze large
datasets to generate actionable business insights
·
Support data-driven
decision-making
·
Build
analytical tools for operational performance analysis
Data Engineering & Pipeline Development
·
Develop and
maintain data pipelines using PySpark
·
Perform ETL
operations
·
Optimize data
storage and retrieval systems
SQL & Database Management
·
Write
efficient SQL queries
·
Manage
structured and unstructured data
·
Perform data
normalization and denormalization
Collaboration & Stakeholder Support
·
Work with
Executive, Product, Design, and Data teams
·
Resolve
technical data challenges
·
Support
enterprise-level data infrastructure
Banking Analytics Support
·
Analyze
customer transactions and financial data
·
Support fraud
detection initiatives
·
Assist in
credit risk analysis
·
Optimize
banking databases
Eligibility Criteria
Educational Qualification
Candidates must possess:
·
Engineering
Graduate Degree OR
·
Postgraduate
Degree
Preferred branches include:
·
Computer
Science Engineering
·
Information
Technology
·
Data Science
·
Artificial
Intelligence
·
Electronics
Engineering
·
Statistics
·
Mathematics
·
Related
Technical Disciplines
Batches Eligible
Based on the job description and
experience requirements, the following batches are likely eligible:
·
2023 Batch
·
2024 Batch
·
2025 Batch
·
2026 Batch
Freshers with relevant technical
skills can also apply.
Required Technical Skills
Programming & Data Skills
·
Python
·
SQL
·
PySpark
·
Pandas
·
NumPy
Big Data & Data Engineering
·
Hadoop
ecosystem basics
·
ETL processes
·
Data pipelines
·
Data
centralization
Database Concepts
·
Data modeling
·
Schemas
·
Normalization
·
Denormalization
·
Cardinality
DevOps & Deployment
·
CI/CD
pipelines
·
Data
deployment processes
Banking Analytics Skills
·
Financial data
analysis
·
Fraud
detection concepts
·
Credit risk
analysis
·
Banking
operations understanding
Essential Soft Skills
·
Strong
analytical thinking
·
Problem-solving
abilities
·
Communication
skills
·
Collaboration
mindset
·
Time
management
·
Adaptability
·
Attention to
detail
Expected Salary for KPMG Executive – Software Engineering
Based on current industry trends
and similar data engineering roles at major consulting firms, the estimated
salary may range between:
|
Experience Level |
Expected Salary |
|
Freshers |
₹6 LPA – ₹8 LPA |
|
Early
Professionals |
₹8 LPA – ₹12 LPA |
Additional benefits may include:
·
Performance
bonuses
·
Health
insurance
·
Learning &
certification programs
·
Hybrid/flexible
work opportunities
·
Career growth
pathways
Note: Salary may vary based on
skills, certifications, interview performance, and experience.
Job Location
Pune, Maharashtra
Pune is one of India’s
fastest-growing IT and analytics hubs, known for technology companies,
consulting firms, financial institutions, and engineering organizations.
Why Join KPMG?
Work with Global Clients
Gain exposure to international
projects and enterprise-level analytics systems.
Learn Advanced Technologies
Work on:
·
PySpark
·
Big Data
·
Banking
Analytics
·
SQL
Optimization
·
Data
Engineering
Excellent Career Growth
KPMG provides strong learning
opportunities, mentorship, certifications, and career mobility.
Industry Reputation
Working at KPMG significantly
strengthens your professional profile.
KPMG Recruitment Process 2026
The hiring process may include:
1. Online Application
2. Resume Shortlisting
3. Online Aptitude Assessment
4. Technical Interview
5. HR Interview
6. Final Offer
Pro Tips to Crack KPMG Software Engineering Interview
1. Strengthen Python Skills
Focus on:
·
Pandas
·
NumPy
·
Data
manipulation
·
Python
problem-solving
2. Practice SQL Thoroughly
Prepare:
·
Joins
·
Subqueries
·
Window
functions
·
Aggregations
·
Optimization
queries
3. Learn PySpark Basics
Understand:
·
RDDs
·
DataFrames
·
Spark
transformations
·
Spark actions
4. Revise Data Engineering Concepts
Prepare topics like:
·
ETL
·
Data pipelines
·
Data
warehousing
·
Schema design
5. Understand Banking Analytics Basics
Learn basic concepts of:
·
Fraud
detection
·
Credit risk
·
Financial
transactions
·
Banking KPIs
6. Build a Strong Resume
Highlight:
·
Certifications
·
Data projects
·
Python skills
·
SQL experience
·
Internship
work
Frequently Asked Questions (FAQs)
1. Who can apply for KPMG Executive Software Engineering Jobs
2026?
Engineering graduates and
postgraduates with skills in Python, SQL, and data analytics can apply.
2. Which batches are eligible?
2023, 2024, 2025, and 2026 batches
are likely eligible.
3. What technical skills are required?
Candidates should know:
·
Python
·
SQL
·
PySpark
·
Data analytics
·
Data
engineering basics
4. What is the expected salary at KPMG Pune?
The estimated salary ranges between
₹6 LPA and ₹12 LPA.
5. Is PySpark mandatory for this role?
Yes, basic to intermediate
knowledge of PySpark is highly preferred.
6. Is this role suitable for freshers?
Yes, freshers with strong technical
and analytical skills can apply.
Final Conclusion
KPMG Executive – Software
Engineering Jobs 2026 provide an outstanding opportunity for graduates looking
to build careers in data analytics, PySpark, SQL, banking analytics, and data
engineering.
With strong salary packages,
exposure to enterprise-level projects, advanced technologies, and excellent
learning opportunities, KPMG remains one of the best organizations for aspiring
software engineers and data professionals.
Candidates with strong Python programming skills, analytical thinking, SQL expertise, and interest in data engineering should definitely consider applying for this role.
🔗 Apply Link: Click Here To Apply for KPMG
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Disclaimer
The recruitment details shared above are for informational purposes only and
have been obtained from the organization’s official website. We do not
guarantee any job placements. Recruitment will be conducted according to the
company's official process. We do not charge any fees for sharing this job
information.
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