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, 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.

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.

Key Responsibilities

• 4 to 9 years Design and implement scalable data pipelines using Snowflake Data Cloud.
• Develop and maintain ETL/ELT workflows using tools such as Azure Data Factory, AWS Glue, Informatica, Talend, or Qlik Replicate.
• Integrate data from various sources and ensure data quality and consistency.
• Build and manage workflow orchestration using Apache Airflow, Control-M, or Tidal Automation.
• Write advanced SQL queries and scripts for data transformation and analysis.
• Develop Python-based data processing solutions using Pandas, PySpark, or Snowpark.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Optimize data models and queries for performance and scalability.
• Ensure adherence to data governance and security standards.

Must-Have Skills

• Snowflake Cloud Platform – Strong hands-on experience.
• ETL/ELT Tools – Proficiency in one or more: Azure Data Factory, AWS Glue, Informatica, Talend, Qlik Replicate.
• Workflow Orchestration – Experience with Apache Airflow, Control-M, or Tidal Automation.
• Programming – Advanced SQL and Python (including dataframes with Pandas, PySpark, or Snowpark).
• Data Engineering Concepts – Strong understanding of data pipelines, wrangling, and optimization.

Good-to-Have Skills

• SQL scripting and procedural logic.
• Data modeling tools such as Erwin or dbt.
• Integration tools like Fivetran or Stitch.

Educational Qualification:

• Bachelor’s degree or higher in Information Technology, Engineering, or a related field.
• B.E / B.Tech/ BCA/ MBA/ MCA Full-Time Education

sonalidas4@kpmg.com