Data Engineer Position

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.

בית החולים איכילוב

תל אביב - יפו

בית החולים איכילוב

תל אביב - יפו
30,000-45,000 ₪ הערכה מבוססת AI ולא שכר שהתקבל מהמעסיק
הערכה מבוססת AI ולא שכר של המעסיק

I-Next Data Center, the AI Center at Tel Aviv Medical Center (Ichilov) is a pioneering data and research hub leading various initiatives to enhance medical diagnosis, prevention and treatment. Our projects encompass diverse areas, including decision-support applications for clinicians, predictive models, image processing, NLP and more.

We are seeking a highly motivated full-time data engineer who is enthusiastic about working with extensive clinical big data sources. The ideal candidate will be dedicated to creating and enhancing data processes to support our dynamic team.

Please apply if you are/have:

Enthusiastic about big data, love challenging medical projects, and want to make a direct impact on the healthcare ecosystem
Bachelor's degree in industrial or information systems engineering, or equivalent. If you don't have a degree, but your eyes shine when writing code - please also apply
Over 6 years of hands-on experience as a data engineer
Over 4 years of hands-on experience in Python scripting
Proficiency in working with a variety of data formats and databases (including cloud environments, SQL, and NoSQL databases, Parquet, Json format)
Experience with GIT work configuration, Environments and development method
Experience with AWS platform and cloud pipelines design
Prior experience in working with real world clinical data - a major advantage
Strong team player with the ability to take initiative and work autonomously, along with excellent communication skills.

Responsibilities

Conduct data extraction, validation and profiling to maximize the value of data
Design, implement, monitor and maintain data pipelines & ETLs for multiple data sources
Collaborate with researchers, experts and data scientists to comprehend data requirements as well as product design and deliver high-quality outcomes
Manage data development process, including methodology, QA and maintenance

We're dedicated to fostering a diverse and inclusive workplace. If you're unsure whether you meet the qualifications, don't hesitate to reach out; we're here to support you through the process.
If you are interested in this role, please send your CV to [email protected]