Senior Data Engineer

Required Senior Data Engineer
Description
Join our core platform engineering team, developing our AI-powered automotive data management platform.
We are developing the next generation data-driven products for the Automotive industry, focusing on cybersecurity (XDR) and vehicle quality. our products monitor and secure millions of vehicles worldwide and help automakers leverage connected vehicle data to deliver cyber resilience, safety, customer satisfaction and increase brand loyalty.
Our Data Engineering & Data Science Group leads the development of our Iceberg-based data platform, including data lake, query engine, and ML-Ops tools, serving as a solid AI-ready foundation for all our products.
At the core of our Engineering Team, you will build and operate scalable, production-grade customer-facing data and ML platform components, focusing on reliability and performance.
Technological background and focus: Iceberg, Trino, Prefect, GitHub Actions, Kubernetes, JupyterHub, MLflow, dbt
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דרישות:

BSc/BA in Computer Science, Engineering or a related field
At least 5 years of experience with designing and building data pipelines, analytical tools and data lakes
At least 7 years of development experience, using a general purpose programming language (Java, Scala, Kotlin, Go, etc.)
Experience with the data engineering tech stack: ETL & orchestration tools (e.g. Airflow, Argo, Prefect), and distributed data processing tools (e.g Spark, Kafka, Presto)
Experience with Python is a must
Experience working with open-source products - Big advantage
Experience working in a containerized environment (e.g. k8s) - Advantage. המשרה מיועדת לנשים ולגברים כאחד.