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.
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💼 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 :
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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)
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