As a Senior Knowledge Graph Data Engineer at EcliptOS, you will develop graph-centric data pipelines and a semantic data layer to support GenAI applications. This role involves designing entity/relationship models and implementing data ingestion and normalization processes. You will work in a high-performance culture that values resilience and innovation. Your contributions will directly impact the firm's ability to deliver exceptional results for clients.

• Degree in Computer Science, Engineering, or equivalent experience
• 5+ years of relevant experience in data engineering
• Strong expertise in Python development and relational databases
• Hands-on experience with Docker and AWS services
• Experience with knowledge graphs and data pipeline performance

• Build graph-centric data pipelines and a semantic data layer
• Design and evolve entity/relationship models, taxonomies, and identifiers
• Implement data ingestion, normalization, and enrichment processes
• Write production-grade Python code with comprehensive tests
• Create and modify GitHub Actions CI/CD pipelines

• 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.