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.
Clalit is the second-largest healthcare organization in the world. With 50,000 employees, it serves over half Israel's population and owns nearly half of the country's hospitals. Clalit also maintains one of the world's largest and most diverse medical databases. Clalit Innovation is Clalit's dedicated innovation arm, where we develop products and publish research that save people's lives.
We are building a high-performing platform team to help our data scientists move fast, safely, and at scale. We're looking for a hands-on Lead Data Engineer to lead a multidisciplinary team consisting of data engineering, DevOps, and MLOps professionals. If you enjoy solving data and infrastructure challenges, thrive in a collaborative environment, and are excited by the impact of healthcare innovation, we want to hear from you.
Who you are:
- 5 + years of hands-on experience in data engineering with at least 1-2 years in a leadership role.
- Hands-on experience designing and maintaining scalable data pipelines and infrastructure.
- You have hands-on experience with relevant data engineering tools and frameworks like Spark, Airflow, Kafka, dbt, Flink, and Iceberg.
- Strong Knowledge of data warehousing, ETLs, and distributed systems.
- Proficient in Python and SQL: experience with shell scripting and other programming languages is a plus.
- Good understanding of containerization technologies (e.g.,Docker, Kubernetes).
- Comfortable working with cloud and on-prem environments.
- Excellent communication and leadership skills.
What you'll do:
- Lead and grow a team of data infrastructure experts (data engineers, DevOps, MLOps).
- Design and implement scalable data pipelines and infrastructure to support ML and analytics workflows.
- Collaborate with data scientists to streamline the path from experimentation to production.
- Ensure infrastructure is secure, observable, and maintainable.
- Oversee implementation of best practices for data management, CI/CD, and infrastructure as code.
Nice to have:
- Experience working with healthcare or clinical data
- Familiarity with Openshift and Red Hat AI.
- Experience in cybersecurity.
- Open-source contributions.
To apply, send your CV to : [email protected], please include that you are applying to the " Lead Data Engineer position #1098"
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.