Data Engineer

A global, publicly traded enterprise leader in Cloud Security and Distributed Infrastructure.

The company develops high-performance platforms connecting edge computing environments with modern cloud ecosystems, enabling global enterprises to manage, secure, and analyze application data across multi-cloud networks.

Their local R&D center focuses on building next-generation Zero

Trust security and identity access solutions that replace traditional network perimeter tools.

Currently located in the Tel Aviv area with immediate light rail access operating under a flexible hybrid model.

Position Overview-

• Data Engineer joining a growing global data engineering group to build and optimize the company's enterprise-wide Data Platform.

• Designing and implementing scalable, high-throughput data pipelines for both batch and real-time streaming workloads.

• Building modern data models, executing complex transformations, and maintaining data warehouse architectures inside a Multi-Cloud environment.

• Implementing robust data quality monitoring, observability frameworks, and system performance metrics to ensure pipeline reliability.

• Collaborating with global software teams, data scientists, and security analysts to convert high-velocity telemetry into actionable data assets.

• Core Domain & Ecosystem- Data Engineering, Cloud Data Warehousing (Snowflake), Data Modeling, Data Transformation (dbt), SQL, Python, Multi-Cloud Architecture (AWS/GCP/Azure), Batch & Streaming Pipelines, Data Observability & Quality.

Requirements-

• 2 years of hands-on professional experience as a Data Engineer building scalable production data architectures – Mandatory

• Proven hands-on experience developing and optimizing data models within Snowflake – Mandatory

• Advanced, high-level mastery of SQL for complex querying and data transformation – Mandatory

• Strong production programming proficiency in Python – Mandatory

• Practical experience working with data transformation workflows using dbt – Strong Advantage

• Exposure to Multi-Cloud environments (AWS, GCP, or Azure) and streaming/batch pipeline design – Mandatory

• Strong technical curiosity, analytical mindset, and ability to collaborate effectively within a distributed global team – Mandatory