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Principal Data Engineer

hace 2 meses

Madrid, Madrid, España Verisk A tiempo completo

**Job Summary**

We are seeking a highly skilled and experienced Data Engineer to join our team at Verisk. As a Data Engineer, you will play a critical role in building and maintaining our data infrastructure, ensuring the accuracy and reliability of our data, and developing innovative solutions to drive business growth.

**Key Responsibilities:**

  • Design, develop, and deploy data pipelines and architectures to support business needs
  • Collaborate with cross-functional teams to integrate data solutions with products and platforms
  • Architect and design reusable services leveraging and integrating frameworks, ensuring optimal performance and compatibility
  • Perform hands-on coding while prototyping (POC) and ensure the overall quality of a system
  • Provide mentoring and technical guidance to junior programmers and other software engineers
  • Troubleshoot and perform root cause analysis

**Requirements:**

  • 6-12 years of proven experience and proficiency with Python
  • Proficient experience and understanding in the following technologies: Python and associated libraries, RESTful API development, Cloud platforms (AWS), Databases, System design, Building data pipelines, Git, CI/CD, Linux
  • Familiarity or hands-on experience with AI and ML concepts, prompt engineering techniques to optimize GenAI performance, evaluation and selection of appropriate models, frameworks, techniques for GenAI use cases, frameworks such as Lang chain or llama Index is highly desirable
  • Excellent understanding of object-oriented design concepts and software development processes and methods

**What We Offer:**

  • Excellent future growth opportunities along either technology or management tracks
  • A highly collaborative, cross-functional teams' environment
  • Excellent compensation and benefits package

**About Us:**

Verisk is a leading provider of data and analytics solutions to the insurance industry. We help our customers make informed decisions by providing them with accurate and reliable data, analytics, and insights.