In this role, you will build graph-centric data pipelines and a semantic data layer that supports Generative AI applications. You will work on a platform deployed across various regions and sectors, combining AI capabilities with domain expertise. The position requires designing entity/relationship models and implementing data ingestion and normalization processes. You will also write production-grade Python code and manage AWS and Docker infrastructure to deliver scalable data services.

• Degree in Computer Science, Engineering, or equivalent experience
• 5+ years of relevant experience in data engineering
• Strong focus on cloud-based data engineering using AWS services
• Expertise in Python development with experience in relational databases
• Experience with knowledge graphs and data pipeline performance
• Hands-on experience with Docker
• Excellent problem-solving skills and ability to analyze complex data challenges
• Strong communication and collaboration skills

• Build graph-centric data pipelines and a semantic data layer for Generative AI applications
• Design and evolve entity/relationship models, taxonomies, and identifiers
• Implement ingestion, normalization, and enrichment processes for heterogeneous data sources
• Perform entity resolution and semantic tagging, and validate data structures
• Write production-grade Python code with comprehensive tests
• Create and modify GitHub Actions CI/CD pipelines
• Operate AWS- and Docker-based infrastructure for reliable data services

• Employees at McKinsey are often offered a comprehensive benefits package, including medical, dental, and vision coverage, prescription benefits, mental-health resources, expert medical opinions, and travel emergency protection. Financial benefits typically include retirement contributions and savings plans, life/accident/disability insurance, tax-advantaged accounts, and financial coaching. Many roles also feature generous paid time off (including volunteering days), flexible/hybrid work options, family care support (parental leave, fertility/adoption/surrogacy assistance, backup care), tuition reimbursement, transportation benefits, discounts, and matching gifts.