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.
On a typical day, you will:
Develop and sustain a unique, cutting-edge data platform in an innovative and leading data group. This role will include bringing to life rich data pipelines, complex orchestration, real-time data ingestions, data lineage, ML and AI pipeline serving, and incorporation of additional advanced tools and the latest technologies.
Optimize advanced data pipeline infrastructure to ensure reliability, scalability, robustness, and efficiency across AWS, GCP, and Azure environments.
Partner with Data Engineers, Data Analysts, and Data Scientists to understand specific requirements, optimizing data layout and infrastructure for various use cases.
5+ years in roles such as Data Platform Engineer, Data Engineer, or Software Engineer.
Proven experience in designing and developing comprehensive data platforms.
Strong proficiency in Python, including Object-Oriented Programming, database integration, performance optimization, and parallelization.
Expertise in web scraping using Python libraries such as Scrapy, BeautifulSoup, and Selenium.
Skilled in batch and real-time data processing techniques.
Hands-on experience with cloud platforms (AWS, Azure, Google Cloud) and their data services.
Proficient with cloud-based databases (e.g., Google BigQuery, Snowflake), data modeling, data warehousing, and ETL design patterns.
Experience with tools like Docker and Kubernetes for containerization and orchestration.
Familiarity with Infrastructure as Code (IaC) tools such as Terraform.
Comfortable writing, communicating, and presenting in English.
B.Sc in Computer Science, Engineering, or a related field (Masters degree advantage).
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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