Executive – Software Engineering

KPMG

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Pune, Maharashtra, India1 month ago

RoleExecutive – Software Engineering (Data Focus)

LocationPune, Maharashtra, India

QualificationB.E / B.Tech / M.Tech / MCA

Job Description

As an Executive in Software Engineering at KPMG, you will be responsible for creating and implementing internal process improvements, including redesigning infrastructure for increased scalability. You will build analytical tools that offer practical insights into company performance indicators like customer acquisition and operational efficiency. Your role involves collaborating with design, product, and executive teams to solve technical data challenges and support their infrastructure needs.
The technical focus of this role is on the Banking domain . You will analyze large datasets related to customer transactions, loan performance, and financial statements to support credit risk analysis and fraud detection. You will develop and maintain robust data pipelines using PySpark and write efficient SQL queries for ETL processes. Additionally, you will implement data models and schemas, ensuring data integrity through normalization and validation cleansing processes within a CI/CD environment.

Redesign infrastructure for increased scalability and automate manual procedures.
Develop and maintain scalable data pipelines using PySpark and Python.
Write efficient SQL queries for data extraction, transformation, and loading (ETL).
Analyse banking data, including customer transactions and loan performance.
Support credit risk analysis and fraud detection initiatives through data.
Implement data models (schemas, normalization, and denormalization).
Collaborate with global stakeholders to centralize and manage data assets.
Utilize CI/CD pipelines to streamline data deployment and maintenance.
Maintain and optimize banking databases to ensure data quality and integrity.

Education: Bachelor’s or Master’s degree in Engineering, Computer Science, or related.
Data Analytics: Proven experience in working with large, complex datasets.
Programming: Proficient in Python (Pandas, Numpy) and PySpark .
Databases: Strong SQL skills and knowledge of RDBMS/data modeling techniques.
Ecosystem: Basic understanding of Hadoop and its related tools.
Banking Knowledge: Deep understanding of banking operations and financial products.
Methodology: Understanding of Agile and CI/CD pipeline tools.
Soft Skills: Strong problem-solving mindset and excellent technical communication.

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