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Mobileye Data Engineer Software Engineering group Israel, Jerusalem District, Jerusalem 188460491
Today
What will your job look like:
- Design, build, and maintain scalable data pipelines to process large datasets efficiently.
- Develop and implement data models and architectures that support both real-time and batch data processing.
- Ensure data integrity, security, and accuracy across all systems.
- Collaborate with data scientists, analysts, and other engineers to ensure data availability and quality.
- Optimize data retrieval and storage processes to handle large volumes of data seamlessly.
- Work with structured, semi-structured, and unstructured data, integrating various data sources.
- Troubleshoot and resolve data issues, ensuring continuous operation of the data infrastructure.
- Maintain and enhance ETL processes, ensuring scalability and performance in handling large datasets.
- Stay up-to-date with industry best practices and emerging technologies related to big data engineering.
All you need is:
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- At least 4 years experience in data engineering, with a focus on large-scale data processing and big data technologies.
- Strong proficiency in programming languages such as Python.
- Experience with data pipeline and workflow management tools
- Hands-on experience with large-scale data processing frameworks like Apache Spark, Hadoop, or similar.
- Familiarity with data modeling, ETL processes, and data warehousing concepts.
- good knowledge of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Cassandra, MongoDB).
- Significant leadership ability
- Experience in building teams and processes from scratch
Nice to have:
- Experience working with real-time data streaming technologies (Kafka, Flink).
- Knowledge of machine learning frameworks and integrating data pipelines for model training and deployment.
- Experience with version control systems (e.g., Git), CI/CD pipelines, and automation tools.
- Experience with containerization (Docker, Kubernetes) is a plus.
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