Jobs

Interviews
Job Alerts
Tools

Upskill and Grow with AI

Mock Interview Practice interviews in realistic simulations

Coding Practice Improve your coding skills with challenges

Certification Earn certifications to validate your skills

AI Learning Get trained with AI expert sessions

Career Path AI insights for smarter career decisions

AI Job Match Score AI-Powered Job Match Against Your Resume and Optimize Your Resume

Career Tools and Resources

Resume Builder Build Professional Resume with Ease

ATS Friendliness Check Check Resume Friendliness for Applicant Tracking Systems

Auto Apply Apply to hundreds of jobs on any platform effortlessly

Co-Pilot (Chrome Extension) Your AI Assistant for Seamless Browsing Efficiency

Interview Questions Streamline interviews with ready-to-use questions

Salaries Discover market-driven salary insights across skillsets and geographies

Companies Explore leading companies actively hiring talent
For Employers

Jobs

Interviews

Home
>
Jobs in gurgaon
>
McKinsey & Company
>
Data Engineer - Source AI

Data Engineer - Source AI

McKinsey & Company

4 years

8 - 9 Lacs

gurgaon

Posted:11 hours ago| Platform: GlassDoor logo

Apply

Skills Required

data ai management procurement network architecture deployment connect drive development apprenticeship coaching learning magic diversity creativity engineering sql python scripting design clustering query github governance json migration

Work Mode

On-site

Job Type

Part Time

Job Description

Job ID: 100646

Gurugram

Do you want to work on complex and pressing challenges—the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you’ve come to the right place.

YOUR IMPACT

You will be part of the Source AI team and will have the opportunity to develop a deep understanding of the domain/function.

Source AI is a Gen AI fueled strategic category management platform within the Operations practice. It combines internal and external data with McKinsey’s functional and technological industrial expertise to empower category managers to make informed real-time decisions and unlock new opportunities. It is one of the fastest growing solutions in McKinsey, offering one of a kind exposure to define the future of procurement powered by AI.

The Source AI team works with clients globally to deliver value for procurement functions supported by McKinsey’s extensive expert network. The team you would join is based out of Gurgaon. You will work closely with consultants and senior leaders serving clients in North America, Europe, Asia and the Middle East.

As a Data Engineer in Source AI you will have deep expertise in Snowflake and modern data architecture, hands on experience building high-performance data pipelines, ensuring data quality, managing migrations, and handling multiple Snowflake environments in a secure and efficient manner. This is a key role to scale our data ecosystem across domains and geographies.

You will collaborate with cross-functional teams to enhance the platform, ensuring seamless client deployment and continuous upgradation of functionalities, as per client demands. You will lead the analyses on key spending categories to identify opportunities through solutions and work with the practice leaders and experts in different regions to continuously build a solution with new functionalities and knowledge. You will connect with external market solutions and establish partnerships that can deliver value to both parties. As you grow in the role, you will mentor analysts on topics related to procurement analyses and delivery of solutions for clients.

YOUR GROWTH

Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.

When you join us, you will have:

Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS

4+ years of experience in data engineering, with 3+ years focused on Snowflake
Strong proficiency in SQL (ANSI, Snowflake dialect) and Python for scripting and transformations
Expertise in managing Snowflake features like Warehouses, Snowpipe, Streams, Tasks, and Secure Views
Proven ability to design and maintain end-to-end data pipelines using Snowflake and Amazon S3
Skilled in optimizing Snowflake performance through clustering, materialized views, and query profiling
Experience with CI/CD pipelines for Snowflake using tools like GitHub Actions
Certified SnowPro Core and/or SnowPro Advanced: Data Engineer
Knowledge of data governance frameworks, including PII handling, GDPR, and HIPAA
Proficiency in working with semi-structured data formats (JSON, Avro, Parquet) in Snowflake
Experience integrating Snowflake with BI tools and downstream applications securely
Demonstrated success in leading data migration from legacy systems to Snowflake
Strong understanding of data quality frameworks, including validation and anomaly detection

More Jobs at McKinsey & Company

Finance Associate

Bengaluru, Karnataka

2 - 2 yrs

Salary: Not disclosed

Client Service Risk Administrator

Gurugram, Haryana, India

Experience: Not specified

Salary: Not disclosed

Client Service Risk Manager

Gurgaon, Haryana, India

Experience: Not specified

Salary: Not disclosed

Assistant Manager - Tax

Gurugram, Haryana, India

5.0 - 5.0 yrs

Salary: Not disclosed

Assistant Manager - Corporate Tax

Gurugram, Haryana, India

5.0 - 5.0 yrs

Salary: Not disclosed

Mock Interview

Practice Video Interview with JobPe AI

Start Python Interview

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

Enhance Your Python Skills

Practice Python coding challenges to boost your skills

Start Practicing Python Now

McKinsey & Company

Login to

Please Verify Your Phone or Email

Confirm Action

Search

Profile

Upskill and Grow with AI

Data Engineer - Source AI