עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
About the job
Join an Israeli cybersecurity company, specializing in cloud-based, AI-powered solutions for connected vehicles, smart mobility, and IoT ecosystems.
What You'll Be Doing
You’ll join the core platform engineering team, developing the AI-powered automotive data management platform.
At the core of the Engineering Team, you will build and operate scalable, production-grade customer-facing data and ML platform components, focusing on reliability and performance.
- Design, build, and maintain scalable data pipelines to ingest and transform batch data on our data lake, enabling analytics and ML with strong data quality, governance, observability, and CI/CD.
- Build and expand our foundational data infrastructure, including our data lake, analytics engine, and batch processing frameworks.
- Create robust infrastructure to enable automated pipelines that will ingest and process data into our analytical platforms, leveraging open-source, cloud-agnostic frameworks and toolsets.
- Develop and maintain our data lake layouts and architectures for efficient data access and advanced analytics.
- Build our ML platform and automate the ML lifecycle.
- Drive business-wide ML projects from an engineering perspective.
- Develop and manage orchestration tools, governance tools, data discovery tools, and more.
- Work with other team members of the engineering group, including data architects, data analysts, and data scientists, to provide solutions using a use case-based approach that drives the construction of technical data flows.
Requirements
- BSc/BA in Computer Science, Engineering or a related field
- At least 4 years of experience with designing and building data pipelines, analytical tools and data lakes
- At least 4 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
- Experience working with open-source products - big advantage
- Experience working in a containerized environment (e.g. k8s) – an advantage
Job No. 417036
CV to [email protected]
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
ערב