KPMG Recruitment Drive | Executive - Software Engineering
KPMG is hiring candidates for the role of Executive - Software Engineering in Pune, Maharashtra, India. The complete details about Job Openings In KPMG are given below.
About the Company
KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focussed and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.
KPMG Recruitment Drive:
Job Role: Executive - Software Engineering
Job ID: INTG10044423
Qualification: Engineering Grad / Postgraduate
Experience: 0–1 Year (Freshers)
Location: Pune, Maharashtra, India
Role Summary
As an Executive in the Software Engineering team at KPMG India Pune, you will work on data analytics, data engineering, and platform improvement projects for banking and financial services clients. You will design and maintain data pipelines using PySpark, write efficient SQL queries, and help build analytical tools that give clients practical insights into their business performance.
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.
- 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.
- 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.
- 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
How to Apply KPMG Recruitment?
All interested and Eligible candidates can apply this drive by the following link.
Application Link: Apply Now
Note: Apply the job before link Expires
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