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.
Youll collaborate closely with data professionals and R&D teams, taking ownership of key systems and having a direct impact on the success of our data ecosystem.
What Youll Do:
Be a member of the team responsible for the design and creation of the organizations data platform and data pipelines.
Lead GenAI developments in data related areas
In charge of development and maintenance of data infrastructure hosting data processes consolidating varied data types from multiple origins
Development of cloud infrastructure for data engineering and BI use
Build core MLOps infrastructure and processes for ML and AI models
3+ years of experience as a Data Engineer or Backend Engineer, with proven experience building data pipelines and ETL processes from scratch.
Strong Python programming skills.
Hands-on experience with databases (SQL and NoSQL), preferably Google BigQuery.
Experience working in a cloud environment (GCP preferred) and familiarity with data streaming tools.
Proficiency with Kafka.
Knowledge of data analysis concepts and tools (e.g., Pandas).
B.Sc. in Computer Science or related field (Masters degree is a plus).
Experience with Airflow and dbt - advantage.
Experience developing AI agents - advantage.
MLOps background - advantage.
Who You Are:
A strong communicator who can work collaboratively with cross-functional teams.
Curious, proactive, and passionate about learning and adopting new technologies.
Detail-oriented with strong analytical and problem-solving skills.
Comfortable in a dynamic, fast-paced environment.
A team player who can also take ownership and work independently.
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