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 take ownership of core data pipelines and backend services, tackle challenging problems in distributed systems, and drive improvements in performance, reliability, and scalability. Working closely with engineering teams and other business units, youll contribute to architectural decisions and help shape the next generation of our data platform.
This is a high-impact role for an engineer who enjoys solving complex data engineering challenges, working with modern cloud and big data technologies, and building resilient systems that operate at scale.
Responsibilities:
Own, enhance, and improve our core platform.
Build and maintain systems for collecting and processing metrics from client environments.
Focus on system efficiency and resilient infrastructure.
Integrate well-known SaaS platforms into our big data repository (e.g., major cloud providers, Datadog, Snowflake).
Optimize Spark and Airflow processes.
Contribute to data design and platform architecture while working closely with other business units and engineering teams.
Face the challenges of testing and monitoring large-scale data pipelines.
7+ years of experience developing and operating large-scale, high-availability systems.
7+ years of experience with Python (Experience with Go is a plus).
Experience working with cloud environments (AWS preferred) and big data technologies (Spark, Airflow, S3, Snowflake, EMR).
Familiarity with metrics systems (e.g., Prometheus, cloud monitoring APIs) or time-series data - a strong plus.
Autodidact, self-motivated team player with strong communication skills and a passion for solving challenges at scale.
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.
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