KPMG hiring Data Engineer 2024 | Apply Now

KPMG hiring Data Engineer 2024 | Overview

Job Title: Data Engineer

Location: Bangalore, Karnataka, India

Company: KPMG in India

Job Description:

Role: As a Data Engineer at KPMG India, you will be pivotal in implementing and managing data pipelines on cloud-based platforms. Your core responsibilities will involve developing and maintaining efficient data processing and transformation workflows to support the organization’s analytics and data-driven decision-making processes. You will work closely with cross-functional teams to ensure the seamless integration of data from various sources, maintaining high standards of data quality and integrity.

Qualifications:

Bachelor’s degree in computer science or a related field, ensuring a solid foundation in computer science principles and data management.

Experience:

0-2 years of experience in data engineering and analytics, indicating a foundational understanding of the role’s requirements.
Hands-on experience with programming languages such as Python and Pyspark, showcasing your capability in data processing and transformation.
Familiarity with Java or Scala is advantageous but not mandatory, adding versatility to your programming skills.
Proficiency in SQL and a solid understanding of data structuring and storage practices.
Exposure to cloud data platforms, preferably AWS, to demonstrate your ability to work with modern data infrastructure.
Experience with stream-processing applications such as Spark Streaming, Apache Flink, or Kafka, indicating your capability in real-time data processing.
Experience in maintaining and developing CI/CD pipelines, particularly with Gitlab, showcasing your understanding of continuous integration and delivery practices.

Skills Required:

Proficiency in Python and Pyspark, ensuring effective data processing and transformation.
Strong understanding of SQL and data management practices, ensuring the ability to handle data effectively.
Familiarity with cloud data platforms and services, particularly AWS, to leverage cloud infrastructure for data solutions.
Experience with stream-processing applications like Spark Streaming, Apache Flink, or Kafka, indicating your capability in handling real-time data.
Ability to maintain and develop CI/CD pipelines, showcasing your understanding of continuous integration and delivery practices.
Strong analytical and problem-solving skills, essential for debugging and upgrading existing systems.
Excellent communication and team collaboration skills, ensuring effective teamwork and project delivery.

Preferred Skills:

Experience with Snowflake and Data Build Tool (DBT) for transforming data, indicating your capability in modern data transformation tools.
Knowledge of Java, Scala, and DevOps practices, adding versatility to your technical skill set.
Familiarity with security and API testing, ensuring comprehensive testing practices.
Knowledge of Agile methodologies, showcasing your ability to work in iterative and collaborative environments.

Responsibilities:

Develop and execute functional test plans and test cases based on project requirements and specifications, ensuring comprehensive testing coverage.
Collaborate with cross-functional teams to identify and resolve defects and issues promptly, maintaining high standards of software quality.
Create and maintain automated test scripts using tools such as Selenium, Appium, or similar, ensuring efficient and repeatable testing processes.
Participate in code reviews and provide feedback to ensure high-quality code, contributing to the overall quality of the software.
Conduct continuous testing for security, API, and regression suite to ensure the application meets required standards and specifications.
Perform data processing and transformation using Pyspark, ensuring efficient data handling and manipulation.
Build and maintain stream-processing applications, ensuring real-time data processing capabilities.
Ensure the continuous integration and continuous delivery (CI/CD) pipeline is effective and efficient, supporting seamless software deployment.
Assemble large, complex structured and unstructured datasets, ensuring comprehensive data integration and processing.
Collaborate with teams to debug and upgrade existing systems, maintaining high standards of system performance and reliability.

Additional Information: KPMG in India is dedicated to providing equal employment opportunities for all applicants and employees, regardless of color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability, or any other legally protected status. KPMG values diversity and inclusivity and encourages all qualified candidates to apply.

Established in India in August 1993, KPMG has offices across various cities including Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara, and Vijayawada. KPMG offers services to national and international clients across various sectors, providing rapid, performance-based, industry-focused, and technology-enabled services that reflect a shared knowledge of global and local industries and the Indian business environment.

Tailor Your Resume:

Highlight relevant experience: Focus on your experience with data pipelines, programming languages (Python, Pyspark), and cloud platforms.
Use keywords: Include terms like “data processing,” “data transformation,” “AWS,” “CI/CD pipelines,” and “SQL” to align with the job description.

Prepare for Interviews:

Be ready to discuss your experience with data engineering projects and specific tools/technologies mentioned in the job description.
Prepare examples of how you have implemented data pipelines, conducted code reviews, and ensured code quality.
Highlight any experience with cloud data platforms, especially AWS, and your ability to work in a collaborative team environment.

This comprehensive job description and preparation guide will help you tailor your resume and get ready for your interview, ensuring you effectively showcase your qualifications and experience relevant to the Data Engineer role at KPMG in Bangalore.

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