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Explore Exciting Fresher & Experienced Roles at KPMG

Explore Exciting Fresher & Experienced Roles at KPMG

About the company

KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.

For more info: 🔗 Visit Official KPMG Website

Do check below for Exciting Internships, Fresher & Experienced Roles at KPMG

💼 Executive – Software Engineering – Pune ((NEW))

 

KPMG is hiring an Executive – Software Engineering for the Pune location. Please read the complete information carefully and apply if you are eligible.

Eligibility Criteria :

  • Qualification: B.Tech, BCA Graduate or any computer science
  • Experience: 0 - 1 years
  • Skills: SQL/ Python programming skills

Responsibilities:

  • 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.

Required Skills:

  • 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.

Salary: ₹6 – 12 LPA (Glassdoor)

Apply Now

⚠️ Note: If the link is expired, the opportunity is closed or disabled by the company. Check for other opportunities.

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