Data Engineer

Jerusalem, Israel
Data & Analytics
Full time

The position

Which Team will you join?

You will be part of Mobileye Data Engineering team. We provide features and generate meta-data to enable and streamline Mobileye's products' development and validation. Generating, preparing, analyzing, and conveying this data requires developing state-of-the-art systems as well as a deep understanding of the business and technology. To continuously evolve and achieve challenging goals, we are utilizing various cutting-edge technologies in the areas of system architecture, software development, machine learning, big data, and image processing.

What will your job look like:

  • You will be part of the architecting and implementing Mobileye's data pipelines.
  • Utilize advanced methodologies (including machine learning, cloud computing, parallel processing, and more) to improve Mobileye's data integrity and accuracy.
  • Evaluate and conduct researches related to technologies to be used for data modeling, data structure, and data lakes solutions.
  • Use a diverse technology stack. Our current stack contains mainly: Python, C# (.net core), Angular, MongoDB, AWS products, ELK, Apache Parquet, and Dockers.

All you need is:

  • Passion for data!
  • Bachelor's degree in Data Engineering, Industrial Engineering, Software Engineering, or equivalent degree.
  • 2+ years of data infrastructure/big data/data engineering experience.
  • Experience with databases (relational and non-relational) and efficient data modeling.
  • Experience with query optimization.
  • Working with AWS - an advantage.
  • Experience with containerized services - an advantage.
  • Working with spark, presto, drill, and ETL flows - an advantage.
  • Fluent English and Hebrew - Both verbal and written.
  • Excellent problem-solving.
  • Excellent interpersonal skills.
  • Ability to work independently as well as part of a team.
**Our offices are located at Jerusalem and Petah-Tikva, but we foster a remote-friendly environment, combining work from home 2/3 days a week




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