Data Engineer

AWS Data Engineer - Consultant

About KPMG in India

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, 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-focussed and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.

The person will work on a variety of projects in a highly collaborative, fast-paced environment. The person will be responsible for software development activities of KPMG, India. Part of the development team, he/she will work on the full life cycle of the process, develop code and unit testing. He/she will work closely with Technical Architect, Business Analyst, user interaction designers, and other software engineers to develop new product offerings and improve existing ones. Additionally, the person will ensure that all development practices are in compliance with KPMG’s best practices policies and procedures. This role requires quick ramp up on new technologies whenever required.

Role - Consultant 

Location: Bangalore

Experience: 4 to 6 years 

Role Overview

We are looking for an experienced AWS Data Engineer with 4–6 years of expertise in designing and building scalable data pipelines and architectures on Amazon Web Services. The role involves working closely with cross-functional teams to deliver reliable, high-quality datasets that power analytics, reporting, and advanced data science initiatives.

Key Responsibilities

• Design, develop, and maintain data pipelines using AWS services (Glue, EMR, Lambda, Step Functions).
• Build and optimize data lakes and warehouses using Amazon S3, Redshift, and Athena.
• Implement ETL/ELT workflows for structured, semi-structured, and unstructured data.
• Collaborate with analysts, data scientists, and business stakeholders to deliver curated datasets.
• Ensure data quality, governance, and security across all platforms.
• Monitor, troubleshoot, and optimize workflows for performance and reliability.
• Automate infrastructure deployment using CloudFormation or Terraform.
• Stay updated with emerging AWS services and best practices in cloud data engineering.

Preferred Qualifications

• AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect.
• Experience with real-time streaming data (Kafka, Kinesis).
• Exposure to machine learning pipelines on AWS (SageMaker).
• Knowledge of data governance frameworks and compliance standards.

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

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.