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.
As a data infrastructure engineer, you'll be at the forefront of data and ML infrastructure development. On a daily basis, you will design, develop, and maintain the systems that allow for the seamless flow, quality, and reliability of our data and deep learning models. You will be part of a cross-functional team in close cooperation with Algo and Cyber Security teams and answer their needs using cutting-edge technologies.
Responsibilities:
Develop creative and robust software solutions to automate the operation of large distributed data processing systems.
Help build and support internal and external frameworks like spark, pytorch, etc to interact with various cloud technologies.
Designing and implementing complex ETL pipelines.
Collaborating with data scientists to develop new ML Ops processes.
Keep close and overall monitoring for all the deployments of the systems, maintain the systems stability, improve the performance, the performance bottlenecks, track and troubleshoot, cost optimization.
Minimum 3 years of programming experience with Python in a collaborative CI/CD software development environment, including git, code review, easily maintained, scalable, and documented code.
Data processing experience with ETLs and SQL data bases (experience with pipelines).
Experience with cloud environment management.
Experience with distributed data systems such as Hadoop, Elasticsearch, etc and their performance optimization.
Working with systems like Docker and Kubernetes.
Bachelor's degree in Computer Science, Software Engineering or equivalent practical experience.
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