Data Engineer

R&Dtelaviv.svgTel-Aviv, IL

monday.com is looking for Data Engineer who lives for data and who can design, implement & scale Data/BI solutions E2E and design data models. You’ll join our R&D Team based in our headquarters, Tel Aviv, Israel.

About The Role

monday.com is looking for Data Engineer who lives for data and who can design, implement & scale Data/BI solutions E2E and design data models. You’ll join our R&D Team based in our headquarters, Tel Aviv, Israel.

  • Be part of a growing team at the core of the company’s operations affecting every department and helping monday.com outdo its best.
  • Responsible for the BigBrain data infrastructure - Data Lake, Data Warehouse, Pipeline, BI and Visualization tools and Data Science infrastructure.
  • Our Stack - React.JS, Redux, Node.js, Ruby on Rails, AWS, Elastic Search, Redis, MySQL.

Your Experience & Skills

  • 2+ years of experience as a former Data Engineer, including all the aspects of the profession.
  • 2+ years of programming experience. Python - advantage.
  • Familiar with data science concepts and solutions.
  • Experience in operating data processing systems.
  • Experience in designing and operating data pipeline solutions for a high volume data flow.
  • You “speak” SQL fluently and can optimize queries for performance.
  • Collaborated with data analysts to design and adapt data models with alignment to business needs.

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Meet the R&D team

The R&D Team is passionate about building innovative and lovable products, while tackling complex engineering problems at a great scale. We’re accountable for bringing the company’s vision to life by navigating our progress into flawless execution and encouraging full ownership and independence in all projects. The BigBrain Core team is at the base of the entire BigBrain operation, leading and driving the company’s culture, responsible for BigBrain’s infrastructure, data infrastructure and exciting cross-company opportunities.

Listen to our team’s playlist on Startup for Startup podcast

Founders and members of the startup ecosystem share experience, advice, and tips

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