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33 McKinsey & Company Jobs
Data Engineer - Platform GenAI
3-8 years
Gurgaon / Gurugram, Bangalore / Bengaluru
1 vacancy
Data Engineer - Platform GenAI
McKinsey & Company
posted 2d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- We are looking for a data engineer with expertise in Python development, who is passionate about cloud- based data engineering using AWS services and loves to build data solutions as part of multi-disciplinary team.
- You would be working closely with digital product professionals, data scientists, cloud engineers and others.you'll be a member of a global team working on our generative AI initiative, based in one of our European offices. Our McKinsey s Tech Ecosystem function is responsible for developing and delivering all technology solutions for the firm s internal use.
- You will work in a team of data engineers to develop data ingestion pipelines, create and mature data processing capabilities that ingest data into a data system used by generative AI applications.
- Your work would include but wont be limited to creation of the python code, tests, creation and modification of GitHub Action CICD pipelines, working with AWS-based infrastructure and docker containers.
- you'll be a member of a global team working on our generative AI initiative. McKinsey s Tech Ecosystem function is responsible for developing and delivering all technology solutions for the firm s internal use. We are taking a cloud-first approach to transform our data platforms and analytical applications across the firm.
- We are seeking an experienced data engineer to shape and accelerate the delivery of target state data platform enabling generative AI use-cases.
- We want a passionate specialist who loves to build data solutions as part of multi-disciplinary team, working closely with digital product professionals, data scientists, cloud engineers and others.
- 3+ years of professional experience as a data engineer, with a strong focus on cloud- based data engineering using AWS services
- Expertise with Python development
- Practicing high coding standards with clean code, modularity, error handling, testing automation and more
- Strong experience with relational databases
- Very driven, super strong on execution and output orientation, likes to get job done attitude and ability to figure things out independently. Able to work in complex and very fast paced environment
- Hands-on experience with Docker
- Solid and demonstrable background in data pipeline performance and diagnostics
- Interest in generative AI and other ML topics
- Kedro framework experience as a plus
- Holds their ground, opinionated, not afraid to speak up at any level
- Familiarity with agile principles and product development
- Excellent problem-solving skills and the ability to analyze and resolve complex data engineering challenges
- Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment
Employment Type: Full Time, Permanent
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What people at McKinsey & Company are saying
Rating based on 4 Data Engineer
reviews
Anonymous · Data Science & Analytics
in Gurgaon / Gurugram
Nothing to like, mckinsey sucks.
Crappy projects no growth and hike.
- Salary - Bad
Data Engineer salary at McKinsey & Company
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