KPMG Hiring Data Engineers Across India | Finsplitz

Introduction

KPMG India is actively seeking skilled Data Engineers to join their dynamic teams across various locations, including Bengaluru, Hyderabad, and Gurugram. These roles offer an opportunity to work on cutting-edge data solutions, leveraging cloud platforms and big data technologies to drive business insights and innovation.

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Roles and Responsibilities

As a Data Engineer at KPMG India, your responsibilities will include:

• Data Pipeline Development: Design and maintain scalable data pipelines using tools like Azure Data Factory (ADF) and Databricks.Apna+1Interview Query+1

• ETL/ELT Processes: Perform data extraction, transformation, and loading from various sources into data storage solutions such as Azure Data Lake Storage (ADLS).Oracle Cloud+2Apna+2Oracle Cloud+2

• Data Processing: Implement data processing workflows using PySpark for both structured and unstructured data.Apna

• Collaboration: Work closely with cross-functional teams to understand business requirements and translate them into technical solutions.KPMG Assets+12Apna+12KPMG+12

• Data Quality and Security: Ensure data accuracy, consistency, and security across all stages of the data lifecycle.Apna+1Oracle Cloud+1

• Automation: Write clean and efficient Python scripts for data manipulation and workflow automation.Apna

• Performance Optimization: Monitor and optimize pipeline performance, troubleshooting issues as they arise.YouTube+7Apna+7KPMG+7

• Continuous Improvement: Stay updated with the latest best practices in data engineering and cloud technologies to recommend and implement improvements.Apna

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Salary and Benefits

KPMG India offers competitive compensation packages for Data Engineers, which vary based on experience and role level:

• Associate Data Engineer: ₹5L–₹11.8L per annum. Glassdoor

• Data Engineer: ₹8.4L–₹27.0L per annum. AmbitionBox

• Senior Data Engineer: ₹14.4L–₹41.4L per annum. 6figr

Additional benefits include:

• Health and Wellness: Comprehensive medical, dental, and vision insurance.

• Work-Life Balance: Flexible work hours and remote work opportunities.

• Professional Development: Access to continuous learning resources and training programs.

• Retirement Plans: Employee stock purchase plans and retirement benefits.

• Leave Policies: Generous paid time off and holidays.

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Application Process

To apply for the Data Engineer positions at KPMG India:

1. Visit the Careers Page: Navigate to KPMG India Careers.

2. Search for Positions: Use keywords like “Data Engineer” to find relevant job listings.

3. Prepare Your Application: Update your resume to highlight relevant skills and experiences.

4. Submit Your Application: Apply directly through the KPMG careers portal.

5. Assessment and Interviews: Shortlisted candidates will undergo assessments and interviews as part of the selection process.

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Interview Process

The interview process at KPMG India typically involves multiple stages:KPMG+2GeeksforGeeks+2LinkedIn+2

1. HR Screening: An initial conversation to assess your background and fit for the role.

2. Aptitude Test: An online assessment covering quantitative, verbal, and logical reasoning. Levels.fyi+6LinkedIn+6GeeksforGeeks+6

3. Technical Rounds: One or more interviews focusing on technical skills, including data engineering concepts, cloud platforms, and programming proficiency.

4. Managerial Round: Discussion with senior team members to evaluate your problem-solving abilities and cultural fit.

5. HR Discussion: Final conversation to discuss salary expectations and other formalities.

 

Apply now: Click here 🔗