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Lead Knowledge Graph Data EngineerMcKinsey & CompanyUnited States

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Lead Knowledge Graph Data Engineer

McKinsey & Company
  • US
    United States
  • US
    United States

About

Join Our Team as a Lead Knowledge Graph Data Engineer Are you ready to tackle complex and meaningful challenges? We are looking for a driven individual who seeks to innovate and contribute to a collaborative team. Your journey starts here! Your Impact As a Lead Knowledge Graph Data Engineer, you will create a robust platform deployed across various regions, sectors, and functions. Your expertise in AI capabilities and judgment will be crucial as you develop cutting-edge technology. Your tasks will include: Building graph-centric data pipelines. Designing and evolving entity/relationship models and taxonomies. Implementing ingestion and normalization processes that align heterogeneous sources with graph schemas. Performing entity resolution and semantic tagging. Validating structures and publishing data to graph stores. Writing production-grade Python code with comprehensive tests. Creating and modifying CI/CD pipelines using GitHub Actions. Operating AWS and Docker-based infrastructure for scalable knowledge graph services. Your Growth In an environment that values high performance and resilience, you will find opportunities to grow as a leader. We are committed to your development through mentorship, structured programs, and an engaged community. Here’s what you can expect: Continuous Learning:
Embrace a culture of feedback and fast-paced learning. Take ownership of your journey. A Voice That Matters:
Your ideas and contributions will be valued, allowing you to make a tangible impact. Global Community:
Work with colleagues from over 65 countries, fostering diverse perspectives to achieve exceptional results. World-Class Benefits:
Enjoy a competitive salary and comprehensive benefits designed to support your well-being and that of your family. Your Qualifications and Skills Bachelor’s degree in Computer Science, Engineering, or equivalent experience. 5+ years of relevant experience in data engineering, with a focus on cloud-based engineering using AWS. Strong Python development skills with extensive experience in relational databases. Experience with knowledge graphs. Adherence to high coding standards, including clean code and automated testing. Strong execution and independent problem-solving skills in fast-paced environments. Hands-on experience with Docker. Proven ability to analyze and resolve complex data challenges. Interest in Generative AI and machine learning topics, experience with Kedro framework is a plus. Excellent communication and teamwork skills. Join us in making a difference! We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to personal characteristics. For U.S. applicants, a reasonable estimated salary range is $176,000 - $179,500 USD. Our comprehensive benefits package emphasizes holistic well-being. Location: McKinsey & Company, Boston, Massachusetts.
  • United States

Languages

  • English
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