
Website McKinsey
Eligibility: Graduate
Experience: 2+ Years
Job Location: Chennai
Company Profile:
At McKinsey, we hire people, not degrees. There is no set definition for what exceptional looks like, and we know it can come from anywhere. We believe in your potential, regardless of your pedigree.
There are many routes to a career at McKinsey, and most of them are unconventional. Whether you built your expertise on the job, learned new skills through an internship, or earned an MBA, experience is experience. We hire people who are brand new to the workforce, as well as ones with decades of proven career success behind them. With big ideas and a wide range of perspectives and life experiences, we want people who are ready to take on new challenges.
Skills:
- Developing robust, scalable data pipelines for ingesting, transforming, and storing data from multiple structured and unstructured sources using Python/SQL.
- Creating and optimizing data models and data warehouses to support reporting, analytics, and application integration.
- Working with cloud-based data platforms (AWS, Azure, or GCP) to build modern, efficient, and secure data solutions.
- Contributing to R&D projects and internal asset development.
- Contributing to infrastructure automation and deployment pipelines using containerization and CI/CD tools.
- Collaborating across disciplines to integrate data engineering best practices into broader analytical and generative AI (gen AI) workflows.
- Supporting and maintaining data assets deployed in client environments with a focus on reliability, scalability, and performance.
Join us on Telegram For More Updates: https://t.me/nareshit
To apply for this job please visit www.mckinsey.com.