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.