דרושים Check Point

We are looking for a BI Expert to join our Data Engineering team.

Who has a passion for Data Engineering, who has a desire to solve complex technological challenges with a proactive approach to a constant improvement

We use an interesting and mixed technology stack: Snowflake, AWS Cloud Technologies- (e.g. S3 Airflow), Power BI

In this position you will use your expertise in development large-scale data driven systems focusing on data analysis, development, and performance improvement.

Key Responsibilities
Work closely with business stakeholders to understand their data needs and provide solutions.
Gather data from various sources, including databases, APIs, and external data providers.
Design and implementing Extract, Transform, Load (ETL) processes to integrate data from multiple sources into a centralized data warehouse.
Create and maintain efficient database schemas and structures to store business data.
Develop data models to represent business processes and support decision-making.
Implement policies and procedures to ensure data is managed securely and complies with relevant regulations.
Improve the performance of data queries to ensure efficient data retrieval, manage & monitor to resolve performance issues.
Stay up-to-date with the latest data technologies and tools to continuously improve data infrastructure.
Identify opportunities to streamline data processes and enhance efficiency.

Check Point is rapidly expanding and is looking for an experienced Business Analyst that will join us for an interesting and challenging role.

As a Business Analyst in one of the worlds largest cyber companies, you will be at the center of all strategic decision-making in your business area.

Key Responsibilities
Analyze, optimize and build business models for our products, pricing, promotions, competitor trends, activities, KPIs, and business units as key part of strategic decisions.
Define metrics to evaluate performance; build reporting/dashboards to track performance and maintain it.
Create insight beyond numbers and help to influence, support and execute our strategic business decisions.
Create budget plans, bookings plans and targets for the related departments and businesses.
Communicate key metrics and insights to various partners and stakeholders clearly and effectively.

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

We are looking for a strong, hands-on Data Scientist to join our ThreatCloud AI group.

In this role, you will join a R&D team that researches, designs, and develops Check Points Zero Day prevention solution, and provides state of the art AI based prevention of malicious and phishing attempts on a global scale.

This is a unique opportunity for you to gain expertise and experience utilizing vast data collection, and to deliver game changing results in the Cyber Security realm

Key Responsibilities
Join the research and development of new innovative capabilities for cyber security, involving advanced AI and Algorithms.
Quickly iterate on design approaches and POCs based on data-driven research and user feedback.
Design and develop a novel data-driven solutions that have the potential to deliver game changing results involving advanced AI and Algorithms.
Enjoy the work and knowledge of Cyber Researchers, Analysts, Fellow programmers and Data-Scientist to deliver machine learning and analytics solutions.
Push the solutions all the way to a large scale production systems. Understand the architectural constraints of such systems and work with a cross-organizational engineering and product team to quickly transition from prototype to a scalable robust implementation.

We are looking for a professional and enthusiastic BI Developer to join our team! The BI Developer will be responsible for defining and building our data pipelines and analytics infrastructure. You will work closely with product managers, R&D engineers, and business stakeholders to support new initiatives and proactively improve our data solutions. You will help create and manage data processes for actionable insights and operational needs.

If you are passionate about data modeling and data processing, with excellent visualization and analytical skills, this job is for you.

Key Responsibilities
As a BI Developer, you will be responsible for:

Design, build, and maintain end-to-end easy-to-use data solutions. This includes orchestration, data modeling, dashboards, monitoring, alerting, experimentation models, etc.
Collaborate effectively with cross-department stakeholders to capture analytical requirements
Analyze complex datasets, and provide useful actionable recommendations

Join our AI & Innovation group as a Data Scientist and help shape the future of AI-driven security solutions. Youll work with a team of passionate, sharp-minded professionals tackling complex challenges at the intersection of AI, data science, and cybersecurity building the next generation of security products at the core of Check Points strategy.

Youll have access to some of the best cybersecurity data sources available, working in a fast-moving, dynamic environment that blends the agility of a startup with the scale and stability of a global leader.

If youre excited about solving real-world AI challenges, translating research into impactful solutions, and collaborating with top talent to push the boundaries of innovation we want to hear from you.

Key Responsibilities
Translate ambiguous product or business challenges into well-defined data science problems
Research and prototype cutting-edge AI techniques (LLMs, RAG, knowledge graphs, etc.)
Design and implement data-driven algorithms, analyze data, build and evaluate models
Collaborate with engineering to deploy scalable, production-ready solutions
Work with product teams to align AI solutions with user needs and business goals
Collaborate cross-functionally with engineers, product managers, and fellow scientists to bring research into production and deliver measurable impact
Stay current with advancements in AI/ML and generative AI, and actively contribute to innovation within the team and broader organization

We are looking for a Data Team Lead to join our Harmony SaaS Group.
This person is passionate about data analytics, cybersecurity, SaaS research, and building scalable data processes. You are driven to solve complex data challenges, lead strategic planning, and generate actionable insights that support both security and business objectives.
We use an interesting and mixed technology stack: SQL, Python, BigQuery, GCP, and more.
In this position, you will use your expertise in leading analytical initiatives, managing large-scale data environments, and driving cross-functional collaboration. You will lead a team of analysts, create and optimize data workflows, align with stakeholders, and build efficient, repeatable processes for delivering high-impact insights.

Key Responsibilities
Manage and guide a team of data analysts, ensuring effective collaboration and accurate delivery.
Research SaaS applications and security trends to identify opportunities for automation and data enrichment.
Deliver data-driven security insights and recommendations to stakeholders and clients.
Actively contribute to team processes by shaping and improving workflows for higher efficiency.
Operate with a high level of autonomy, knowing when to escalate, seek feedback, or adjust team practices as needed.

We are looking for a strong, hands-on Data Scientist to join our Data Loss Prevention team.

In this role, you will join an R&D team that researches, designs, and develops Check Points data loss prevention cloud services, providing state-of-the-art AI-based data loss prevention solutions on a global scale.

Check Point's data loss prevention solution is a platform used by all Check Point products, including Network Security, Email Security, SASE, Endpoint, SaaS, and Cloud Security.

In today's AI-driven world, data is an invaluable asset, and safeguarding it is paramount.

This role offers a unique opportunity to leverage extensive data collections and deliver transformative results in the Data Loss Prevention domain.

Key Responsibilities


Join the research and development of new innovative capabilities for data loss prevention, involving advanced AI and algorithms.
Quickly iterate on design approaches based on data-driven research and user feedback.
Design and develop novel data-driven solutions that have the potential to deliver game-changing results involving advanced AI and algorithms.
Utilize Natural Language Processing (NLP) and large language models to enhance data loss prevention capabilities.
Work on web content categorization as part of the broader scope of data protection.
Collaborate with Cyber Researchers, Analysts, Fellow programmers, and Data Scientists to deliver machine learning and analytics solutions.
Push the solutions all the way to large-scale production systems. Understand the architectural constraints of such systems and work with a cross-organizational engineering and product team to quickly transition from prototype to a scalable robust implementation.