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.
A premier Data-Intelligence firm and a category leader in the digital transformation of global infrastructure. Backed by significant Tier-1 venture capital, the company has developed a first-of-its-kind platform that integrates IoT sensory hardware and AI to capture real-time data from complex industrial sites.
By converting physical operations into high-fidelity digital insights, the organization provides the "source of truth" for large-scale enterprise efficiency.
Led by executives from world-class technology giants, the company maintains an elite R&D center in Tel Aviv and operates under a hybrid work model.
Responsibilities-
- Architecture & Modeling: Designing and implementing robust, scalable Data Models to support complex, high-velocity IoT and sensor-based datasets.
- Pipeline Engineering: Developing high-performance Data Pipelines from scratch to handle massive data flows from international sites.
- Data Integrity Ownership: Taking full responsibility for Data Quality, ensuring that mission-critical insights delivered to global enterprise clients are accurate and reliable.
- Research Empowerment: Building the infrastructure and environments necessary for Data Scientists and Researchers to conduct advanced modeling and analysis.
- Modern Data Stack: Leveraging a cutting-edge environment based on Databricks, Spark, and Kafka to process large-scale structured and unstructured data.
- Cloud-Native Excellence: Managing and automating data environments on AWS, utilizing modern Infrastructure-as-Code practices.
Requirements-
- 5 years of experience as a Data Engineer, specifically within high-scale or high-complexity environments – Mandatory.
- Deep hands-on experience in development with Spark (PySpark / SQL) – Mandatory.
- Proven experience working with Databricks for data engineering and analytics at scale – Mandatory.
- Significant experience building and managing data architectures on AWS – Mandatory.
- Proficiency with Kafka for real-time streaming and familiarity with Terraform or similar orchestration tools.
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.
הרצליה
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