Job Description

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, 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.

Responsibilities

5–12 years of data engineering experience (5+ years on Azure).
Strong hands-on with Azure Data Factory, Azure Synapse, Azure SQL, ADLS.
Proficiency in SQL and Python/Scala.
Experience with ETL/ELT, data modeling, and performance tuning.
Familiarity with Azure DevOps, Git, and data security standards.
Strong communication and stakeholder management.
Design and build scalable data pipelines and analytics solutions on Microsoft Azure.
Develop and manage data lakes and data warehouses.
Ingest, transform, and integrate structured & unstructured data.
Collaborate with business, analytics, and data science teams.
Ensure performance, security, governance, and cost optimization.
Automate workflows using Azure Functions, Logic Apps, and CI/CD.

Monitor, troubleshoot, and optimize data platforms.

Qualifications

B.E/B.Tech

Equal employment opportunity information

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.

Assistant Manager - Azure Data Engineering