KPMG Careers 2026 Hiring Software Engineering Executive

By
Cyber Tecz
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2
KPMG Careers 2026
KPMG Careers 2026

KPMG Careers 2026 Hiring Software Engineering Executive

KPMG has announced its Careers 2026 hiring drive for the position of Software Engineering Executive. Candidates looking to build a strong career in software development and technology consulting can apply for this exciting opportunity. Freshers and eligible graduates with programming knowledge, analytical thinking, and problem-solving skills are encouraged to apply online and begin their professional journey with one of the world’s leading professional services firms.

Job Details:

  • Designation: Software Engineering Executive
  • Company: KPMG 
  • Educational Qualification: B.E/B.Tech
  • Experience Required: 0 – 1 Year
  • Location: Pune, Maharashtra India
  • Compensation: Best in Industry

Qualifications:

  • Proven experience in data analytics and working with large datasets.
  • Proficiency in Python, including libraries such as Pandas and Numpy for data manipulation.
  • Strong SQL skills for querying and managing databases.
  • Experience with PySpark for large-scale data processing.
  • Basic understanding of Hadoop and its ecosystem.
  • Familiarity with data engineering concepts and best practices.
  • Knowledge of data modeling, including schemas, normalization, and denormalization techniques.
  • Understanding of data centralization, cardinality, and data quality principles.
  • Good to have experience in CI/CD pipelines and tools.

Banking:

  • Deep understanding of banking operations, financial products, and regulatory frameworks
  • Experience with data modeling, ETL processes, and statistical analysis
  • Prior experience in retail or corporate banking analytics
  • Analyze banking data including customer transactions, loan performance, and financial statements
  • Support credit risk analysis and fraud detection initiatives
  • Maintain and optimize banking databases and data pipelines

Technical Skills:

  • Analyze large datasets to derive actionable insights and support decision-making processes.
  • Develop and maintain data pipelines using PySpark and other data processing tools.
  • Write efficient SQL queries to extract, transform, and load data from various sources.
  • Implement data models and schemas to organize and optimize data storage and retrieval.
  • Perform data normalization and denormalization to ensure data integrity and accessibility.
  • Collaborate with data engineers to centralize and manage data assets.
  • Ensure data quality through validation and cleansing processes.
  • Utilize CI/CD pipelines to streamline data deployment and maintain continuous integration.

Responsibilities:

Functional Skills

  • Determining, creating, and implementing internal process improvements, such as redesigning infrastructure for increased scalability, improving data delivery, and automating manual procedures.
  • Building analytical tools that make use of the data flow and offer a practical understanding of crucial company performance indicators like operational effectiveness and customer acquisition.
  • Helping stakeholders, including the data, design, product, and executive teams, with technical data difficulties.
  • Working on data-related technical challenges while collaborating with stakeholders, including the Executive, Product, Data, and Design teams, to support their data infrastructure needs.
  • Remaining up-to-date with developments in technology and industry norms can help you to produce higher-quality results.

Interested students can apply directly at 👉 KPMG Careers 2026

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