לוח משרות דרושים בוגרי יחידות טכנולוגיות/אקדמיה עבודה היברידית

We are looking for a Full-Stack Engineer. This role is perfect for a proactive person with outstanding programming skills. The ideal candidate is a team player who has a passion for designing and developing innovative and scalable solutions, from front-end user interfaces to back-end system logic. A person who has a desire to be responsible for the development of entire features, end-to-end, while demonstrating engineering excellence.
Key Responsibilities
End-to-end development of new software features (research, design, development, testing, deployment, monitoring)
Contribute to technological and architectural decisions
Analyze and improve efficiency, scalability, and stability of various components in our system
Collaborate with Designers, Product Managers, and Software Engineers to deliver the best product to our customers

We are looking for a talented Data Engineer to join our analytics team in the Big Data Platform group.
You will support our product and business data initiatives, expand our data warehouse, and optimize our data pipeline architecture.
You must be self-directed and comfortable supporting the data needs of multiple systems and products.
The right candidate is excited by the prospect of building the data architecture for the next generation of products and data initiatives.

This is a unique opportunity to join a team full of outstanding people making a big impact on Check Point.
We work on multiple products in many domains to deliver truly innovative solutions in the Cyber Security and Big Data realm.

This role requires the ability to collaborate closely with both R&D teams and business stakeholders, to understand their needs and translate them into robust and scalable data solutions.

Key Responsibilities
Maintain and develop enterprise-grade Data Warehouse and Data Lake environments
Create data infrastructure for various R&D groups across the organization to support product development and optimization
Work with data experts to assist with technical data-related issues and support infrastructure needs
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, redesigning infrastructure for scalability
Build and maintain robust ETL/ELT pipelines for data ingestion, transformation, and delivery across various systems