McKinsey
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Gurugram · On-site · 6-9 Yrs · Oct 9
Business consulting · 10000+ Employees · New York, US
McKinsey & Company is a global management consulting firm that serves private and public companies, governments, not-for-profits and non-governmental organizations. Our clients come to us with their most complex issues and our people help them to make change happen at all levels of their organization. In the past five years, we have served more than 2,000 clients of all sizes in all geographies and sectors. Our more than 10,000 consultants and 2,000 knowledge professionals speak nearly 130 languages and work in more than 100 locations in more than 60 countries. They hail from all backgrounds including medicine, engineering, civil service, entrepreneurship, science, business, professional athletics, and linguistics. They are united by their desire to make positive change in the world. That’s why we say that when you come to McKinsey, you “don’t just come to work. You come to change.”
Hiring: Engineering
What employees say
+ Benefits and people both are great
− Working hours can be long
More reviews on the company profile.
Interview experience · Team Leader
Problem solving interviews followed by Personal In person interviews at the Corporate office. Interview experience from receiving the HR call to the final onboarding is very smooth, and HR BP has ensured the best intervi
Difficult difficulty · India · 572 reports
More interview insightsJob description
Overview
Who You'll Work With
Responsibilities
- Degree in Computer Science or Software Engineering, or equivalent experience preferred
- 6+ years of experience with practical knowledge of software engineering concepts and best practices in a data engineering context, including unit testing for data transformations (e.g., pandas and PySpark), data validation (e.g. Great Expectations)
- Familiarity with distributed computing frameworks (e.g., Spark, ibis), containerization (e.g., Docker), and analytics libraries (e.g. pandas, numpy, scikit-learn)
- Experience with cloud platforms (e.g. AWS, Azure, GCP) and Databricks a plus
- Experience with Git Hub
- Proficiency in writing clean, maintainable, scalable, and robust code in Python in a professional setting
- Proven experience building data pipelines for advanced analytics use cases
- Experience with Generative AI technologies, including interfacing with foundational models (e.g., OpenAI GPT-4), designing AI Agents, and prompt engineering for various content creation tasks
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Last updated 14 October 2026
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