Data Engineer Team Lead (Data Science Group)

Tel Aviv-Yafo, Tel Aviv District, Israel

Armis is looking for a few of the very best people in their field to join our A-team of big thinkers, doers, movers, and shakers. This unique opportunity truly offers the best of all worlds—start up culture, enterprise level benefits and security, and top pay for the industry. Got your attention yet? Good, keep reading, it only gets better.

Ok, so what exactly does Armis do?

Connected assets are growing at an explosive rate, across every industry and every geo. In today’s world of smart devices and BYOD, these assets come from every direction and are found in every possible environment and industry. And they’re critical to success for every enterprise. And because every single asset represents a very real potential vulnerability, they’re also the last line of defense against today’s sophisticated cyber criminals. 

Armis gives companies of every size—across every industry and geo—complete asset visibility, contextual intelligence, and continuous security. We have partnerships and integrations with the planet’s leading tech and cybersecurity players. And we’re building an incredibly smart and diverse global team of thought-leading technologists, creative visionaries and proven game changers who are ready to take Armis to the next level.

Armis collects massive amounts of cyber and network related data - from our billions of client assets, their network communications, attributes and properties, and potential attack and exploits. Armis utilizes Data Science and Machine Learning algorithms on that data in order to deliver the product's core features. 

Our data science team is striving to improve the value it provides to multiple facets of the Armis product, and to continue to drive and participate in innovation that moves the company forward. 

We are looking for a Data Engineering Team Lead, with a good software development background and a strong passion for DATA, to lead our team of data engineers to new heights.
An Ideal candidate will understand and love data science and see its potential impact, and will be able to learn and implement the best tools and practices to efficiently deliver DS models to production environments. 

 

What you will be dealing with:

  1. Implementing complex Machine Learning algorithms running on massive amounts of data stored in Data Lake architecture.
  2. Designing and improving the architecture of delivering DS models into production environments.
  3. Working with cutting-edge big data technologies in Python and on AWS, and implementing new technologies into use.
  4. Guiding and leading our amazing team of committed engineers to their full potential,
    and working in cooperation with the best data scientists and data analysts to deliver useful and insightful data to our clients.

 

Requirements:

  1. 5+ years of experience in software development
  2. 3+ years of experience in Python or Scala
  3. Hands-on experience developing applications using Spark
  4. Hands-on experience implementing machine learning models
  5. Autodidact and self-motivated
  6. A true team player with strong communication and leadership skills 

Experience with the following is a plus:

  1. Implementing Machine Learning algorithms using PySpark
  2. Knowledge and acquaintance with new and innovative data engineering technologies

The choices you make in your career journey matter. You want to do interesting work in an important field while also having time to live your life, which is why we place so much value in your life-work balance. Armis sets you up for success with comprehensive health benefits, discretionary time off, paid holidays including monthly me days, and a highly inclusive and diverse workplace. Put your unique experiences and perspective to work in an environment where they will enable you to thrive, grow, and live your life with integrity.

Armis is proud to be an equal opportunity employer. We never discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other legally protected (or not) status. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization.

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