The position
Join our dynamic Software Engineering team within the Algorithms group at Mobileye, and become a vital part of maintaining and optimizing the data aspect for Mobileye Algorithms Teams.
Our team’s primary focus is to enhance productivity and ensure a smooth development lifecycle for our teams. We achieve this by managing their data processes, developing tools and processes to optimize data pipelines, and fostering a culture of continuous improvement in data management.As a Data Engineer, you will not only contribute to defining, managing, and analyzing our diverse range of data systems and frameworks but also take on a leadership role within the team.
Your expertise and guidance will have a significant impact on the daily operations of hundreds of algorithmic and software developers at Mobileye. Operating at an impressive scale of computing, storage, code-base, and data, we prioritize the use of cutting-edge technology, reliability, and usability.
We are seeking a talented Data Engineer who will be responsible for the end-to-end management of our data.
What will your job look like:
Define and manage data requirements and processes.
Develop and maintain data pipelines and ETL processes.
Analyze data to derive actionable insights and support decision-making.
Lead the data effort within the team, providing technical guidance and driving innovation.
Collaborate with algorithmic and software developers to integrate data solutions into their workflows.
Optimize data systems for performance, reliability, and scalability.
Foster a culture of continuous improvement in data management and utilization.
Ensure data quality and security across all processes and systems.
All you need is:
At least 5 years experience in data engineering, data management, and analysis.
Proven leadership skills and a passion for solving complex data problems.
Expertise in distributed data systems, ETL processes, and data analysis frameworks.
A track record of successfully leading data efforts within a software engineering team.
Strong coding skills in Python and familiarity with CI/CD pipelines
A commitment to using cutting-edge technology and best practices in data engineering.
