Data Engineer

A premier global, publicly traded enterprise in Cloud Networking and Cybersecurity.

The company builds advanced edge-to-cloud architectures that allow enterprise organizations to manage, secure, and analyze data and applications globally.

The Israeli R&D hub leads the core strategy for the company's flagship Cloud Security product, delivering a Zero Trust Cloud-Native architecture designed to replace traditional enterprise VPN infrastructure.

The company employs tens of thousands of professionals globally, with a strong engineering site of hundreds of employees in Israel.

Located in central Tel Aviv (walking distance from major transit lines and light rail station,, operating on a hybrid work model.

Role Description-

• Joining a growing global Data Engineering group responsible for building, optimizing, and evolving the enterprise-wide Data Platform.
• Designing and implementing high-throughput, scalable Data Pipelines for both Batch and Streaming workloads.
• Developing robust data models, data transformations, and automated testing frameworks to ensure high Data Quality, Monitoring, and Observability.
• Hands-on development using Python and SQL within a Snowflake ecosystem and leveraging dbt for modern data transformations across Multi-Cloud environments (AWS / GCP / Azure).

Requirements-

• 2 years of hands-on experience as a Data Engineer – Mandatory
• Proven hands-on development experience with Snowflake data warehouse – Mandatory
• Strong proficiency in SQL for complex queries, data modeling, and transformations – Mandatory
• Solid programming experience in Python for data processing and pipeline development – Mandatory
• Experience with dbt (data build tool) – Advantage
• Experience building Batch and Streaming data pipelines in Multi-Cloud