KPMG is hiring for the position of Executive – Software Engineering in Pune, India. Candidates with a Bachelor’s/ Master’s Degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | KPMG |
| Position | Executive – Software Engineering |
| Qualifications | Bachelor’s/ Master’s Degree |
| Experience | Freshers/ Experienced |
| Location | Pune, India |
Key Responsibilities:
- Determine, design, and implement internal process improvements to enhance scalability, optimize data delivery, and automate manual processes.
- Build analytical tools and solutions that leverage data flow to provide actionable insights into key business performance metrics, including operational efficiency and customer acquisition.
- Collaborate with cross-functional stakeholders, including Data, Product, Design, and Executive teams, to address technical data-related challenges and support infrastructure requirements.
- Provide technical assistance to stakeholders by resolving data-related issues and ensuring smooth data operations across teams.
- Stay updated with emerging technologies, industry standards, and best practices to deliver high-quality and innovative solutions.
- Analyze large and complex datasets to generate actionable insights and support data-driven decision-making.
- Develop, maintain, and optimize data pipelines using PySpark and other data processing technologies.
- Write efficient and optimized SQL queries for data extraction, transformation, and loading (ETL) processes from multiple data sources.
- Design and implement data models and database schemas to improve data organization, storage efficiency, and retrieval performance.
- Perform data normalization and denormalization techniques to maintain data integrity, consistency, and accessibility.
- Collaborate with data engineering teams to centralize, manage, and optimize enterprise data assets.
- Ensure high data quality through validation, cleansing, and monitoring processes.
- Utilize CI/CD pipelines to automate data deployment processes and maintain continuous integration and delivery practices.
Eligibility Criteria:
- Demonstrate proven experience in data analytics and handling large-scale datasets for business and technical insights.
- Possess strong proficiency in Python, including experience with libraries such as Pandas and NumPy for data analysis and manipulation.
- Exhibit strong SQL skills for querying, managing, and optimizing databases.
- Have hands-on experience with PySpark for large-scale and distributed data processing.
- Maintain a basic understanding of Hadoop and its associated ecosystem components.
- Possess knowledge of data engineering concepts, methodologies, and industry best practices.
- Demonstrate understanding of data modeling techniques, including schema design, normalization, and denormalization.
- Have knowledge of data centralization, cardinality, and data quality management principles.
- Good to have experience working with CI/CD pipelines and related automation tools.
About Company:
KPMG is a global network of professional firms providing Audit, Tax and Advisory services. We have 227,000 outstanding professionals working together to deliver value in 146 countries and territories. With a worldwide presence, KPMG continues to build on our successes thanks to clear vision, defined values and, above all, our people. Our industry focus helps KPMG firms’ professionals develop a rich understanding of clients’ businesses and the insight, skills and resources required to address industry-specific issues and opportunities.
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