KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.
KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.
ResponsibilitiesGoogle Cloud Platform (GCP) Data Engineer
Location - Bangalore
Experience - 10 to 13 years
Role Overview
We are seeking an experienced GCP Data Engineer to design, build, and optimize scalable data pipelines and solutions on Google Cloud Platform. The ideal candidate will have strong expertise in cloud-native data engineering, big data technologies, and modern data architectures, with a proven track record of delivering enterprise-grade solutions.
Key Responsibilities
Design, develop, and maintain data pipelines using GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Composer).
Implement ETL/ELT workflows for structured and unstructured data.
Optimize data warehouse and lake architectures for performance and scalability.
Collaborate with data scientists, analysts, and business stakeholders to enable advanced analytics and ML workloads.
Ensure data quality, governance, and security across all solutions.
Automate workflows and monitor pipelines for reliability and efficiency.
Stay updated with emerging GCP services and industry best practices.
Required Skills & Qualifications
Strong hands-on experience with Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Dataproc).
Proficiency in SQL, Python, and Java/Scala for data engineering tasks.
Experience with data modeling, schema design, and performance tuning in BigQuery or similar warehouses.
Solid understanding of distributed systems, big data frameworks (Apache Beam, Spark, Hadoop).
Knowledge of workflow orchestration tools (Airflow/Cloud Composer).
Familiarity with CI/CD pipelines and DevOps practices for data engineering.
Strong problem-solving and communication skills.
Preferred Qualifications
Experience in real-time streaming data solutions.
Exposure to machine learning pipelines on GCP.
GCP certifications (Professional Data Engineer, Professional Cloud Architect).
Background in financial services, retail, or telecom domains is a plus
• Master’s or Bachelor’s in Computer Science, Applied Mathematics, AI, or related field.
What We Offer
• Work on next-generation AI/GenAI platforms with global clients.
• Opportunity to lead high-impact POCs and enterprise AI deployments.
• Access to AI research labs, cloud innovation platforms, and certifications.
• Collaborative culture that values innovation, mentorship, and Responsible AI
Equal Opportunity Employer:
KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.
Top Skills
What We Do
KPMG entities in India are established under the laws of India and are owned and managed (as the case may be) by established Indian professionals. Established in September 1993, the KPMG entities have rapidly built a significant competitive presence in the country. Today we operate from offices across 14 cities including in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities have a domestic client base of over 2700 companies. Our global approach to service delivery helps provide value-added services to clients. Our differentiation is derived from a rapid performance-based, industry-tailored and technology-enabled business advisory services delivered by some of the leading talented professionals in the country. KPMG professionals are grouped by industry focus and our clients are able to deal with industry professionals who speak their language. Our internal information technology and knowledge management systems enable the delivery of informed and timely business advice to clients.
