KPMG is inviting talented professionals to join its dynamic team as Data Engineers in Bangalore. This is a golden opportunity to work with a leading global firm while building next-gen data pipelines. Whether you’re passionate about cloud platforms or data transformation, KPMG Data Engineer Jobs offer a chance to grow your career with purpose and innovation. Explore job responsibilities, skills required, and application process below.
Job Details
Role: Data Engineer
Location: Bangalore, Karnataka (Work From Office)
Qualification: Any Graduate
Experience: 1+ Years (Preferred)
Salary: Up to ₹6 LPA
Job Type: Full-Time
Company Overview
KPMG in India is a leading global professional services firm offering Audit, Tax, and Advisory services. With offices in major cities like Mumbai, Delhi, Bengaluru, and Chennai, KPMG India combines international expertise with in-depth knowledge of Indian markets. The firm is dedicated to providing high-quality services that are rapid, industry-focused, and technology-driven.
Role & Responsibilities
1) Data Pipeline Development
- Design and implement end-to-end data pipelines on cloud-based platforms.
- Assemble large, complex datasets that support business needs.
- Conduct data transformation using PySpark and Python.
2) Cloud & API Integration
- Integrate and manage data through AWS cloud services.
- Handle API integrations and automate data flows.
- Ensure seamless data warehousing and accessibility.
3) Programming & Automation
- Write clean, reusable code in Python and PySpark.
- Maintain and develop CI/CD pipelines using GitLab.
- Conduct debugging and upgrades of existing systems.
4) Collaboration & Best Practices
- Conduct code reviews and maintain high coding standards.
- Collaborate with cross-functional teams for seamless deployment.
- Follow DevOps and Agile practices for efficiency.
Eligibility Criteria
- Bachelor’s degree in Computer Science or a related field.
- Strong programming skills in Python and PySpark.
- Experience with SQL, Snowflake, and DBT tools.
- Knowledge of AWS, API integration, and data warehousing concepts.
- Good to have: Knowledge of Java, Scala, and DevOps tools.
Salary Details
Selected candidates will receive a competitive salary of up to ₹6 LPA based on skills and experience.
Work Model
This is a full-time Work From Office role based in Bangalore.
Application Process
- Apply through the official online link: Interested candidates should apply using the official application link shared below. Ensure all personal and professional details are correctly filled in.
- Attach an updated resume: Upload a resume that clearly highlights your skills in data engineering, Python, SQL, and cloud platforms like AWS or Azure.
- Wait for further communication: Shortlisted candidates will be contacted via email or phone for the next steps in the evaluation process.
Selection Process
- Online Application Review: The recruitment team will screen your profile to check if your qualifications and experience match the job requirements.
- Technical Interview (Data Engineering Concepts, Python, SQL): This round will test your understanding of ETL processes, Python scripting, SQL querying, and data engineering practices.
- Managerial/HR Round: A discussion focused on team collaboration, past work experiences, behavioral strengths, and overall fit for the role and company culture.
- Final Offer: Selected candidates will receive a formal offer outlining the role, salary, joining date, and other employment details.
Apply Now
Looking to work with one of the most reputed firms in India? Apply today for KPMG Data Engineer Jobs and become part of a future-ready team driving innovation in analytics and cloud platforms. Don’t miss this opportunity!
Apply Link: KPMG Data Engineer Jobs
Looking for change? These Fresher jobs are worth checking out now.
Conclusion
The KPMG Data Engineer Jobs are an excellent opportunity for graduates with Python and cloud skills to work on impactful data projects. With a reputed brand, structured processes, and exposure to global best practices, KPMG offers a strong platform for career development. Apply today and take your first step into the world of data excellence.
Tips for Job Seekers
- Tailor your resume with keywords like PySpark, SQL, and AWS: Use job-specific terms to get noticed during the resume screening process, especially tools and technologies mentioned in the job post.
- Brush up on data warehousing and cloud data platforms before the interview: Review concepts like Redshift, Snowflake, or BigQuery, and understand how cloud-based data systems work.
- Highlight your experience with data transformation and CI/CD pipelines: Share practical examples where you handled large-scale data processing or automated workflows.
- Demonstrate problem-solving and collaboration skills: Talk about times when you worked with teams to solve technical problems or streamline data processes.
- Stay updated with trends in cloud data engineering: Read about new tools, frameworks, and best practices in cloud data architecture and implementation.
FAQs
1. What is the salary for KPMG Data Engineer Jobs?
The salary for the KPMG Data Engineer position can go up to ₹6 LPA, depending on the candidate’s experience, skill set, and performance during the selection process. Compensation may vary based on certifications and project needs. Additional perks and benefits are provided as per company policies.
2. Where is the KPMG Data Engineer job located?
This role is located in Bangalore, Karnataka, and follows a strict Work From Office model. Selected candidates must work on-site at the KPMG office for all business days. Remote or hybrid options are currently not available for this position.
3. What are the qualifications required for KPMG Data Engineer Jobs?
Candidates should possess a Bachelor’s degree in Computer Science, Information Technology, or a related field. A strong academic background in data structures, programming, or databases will be beneficial. Additional certifications in cloud or big data technologies are a plus.
4. Is prior experience necessary for KPMG Data Engineer Jobs?
Yes, candidates should have at least 1 year of relevant experience in data engineering or analytics. Hands-on experience with data pipelines, ETL processes, and real-time data management is highly preferred. Freshers are generally not considered for this position.
5. What technical skills are needed for KPMG Data Engineer Jobs?
Applicants must be proficient in Python, PySpark, and SQL for data processing and analysis. Experience with AWS and other cloud platforms is essential. Knowledge of cloud data architecture and pipeline development tools is also required.
6. Does KPMG offer training for fresh joiners in data roles?
Yes, KPMG provides structured onboarding and technical training sessions tailored to the project and team requirements. New joiners receive mentorship and support to help them integrate into ongoing client projects effectively. Training includes tools, systems, and compliance.
7. Is this a permanent job role?
Yes, the KPMG Data Engineer role is a full-time, permanent position. Selected candidates will be onboarded as regular employees and will enjoy long-term career development opportunities within the organization. Contractual or temporary employment is not applicable.
8. How can I apply for KPMG Data Engineer Jobs?
Interested candidates can apply through the official careers page or the direct apply link mentioned in the job post. Ensure your resume highlights relevant technical skills and project experience. The application process is entirely online.
9. What is the selection process at KPMG?
The selection process includes submitting an online application, followed by a technical interview focusing on data engineering concepts. Successful candidates then undergo a managerial or HR interview. Final offers are extended after candidate evaluation.
10. Is remote work allowed in KPMG Data Engineer Jobs?
No, this is a full-time, office-based job in Bangalore. KPMG requires employees to be present at the office for better collaboration and project execution. Remote or flexible work arrangements are not part of this role.
11. What is the interview process like at KPMG for this role?
It typically includes technical rounds focused on data pipeline design, cloud tools, and SQL.
12. Will I work with international clients in this role?
Yes, KPMG serves both national and international clients, providing a broad exposure.