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לפני 12 שעות
חברה חסויה
Job Type: Full Time and Hybrid work
We are seeking a data Engineer with strong technical expertise and a business-oriented mindset to lead end-to-end data, automation, and AI solutions. The role requires the ability to understand business needs and translate them into scalable, reliable technology solutions.
The successful candidate will design, develop, and maintain data pipelines, automation processes, analytics, and AI-enabled solutions that drive operational efficiency and data -informed decision-making. Strong collaboration, teamwork, and communication skills are essential, including fluency in English and the ability to work effectively with both technical and business stakeholders in a local and global environment.
Experience with Microsoft technologies is a strong advantage. The position combines hands-on data engineering with automation, analytics, and AI innovation.
Requirements:
Bachelors degree in science discipline, computing science, engineering, mathematical, statistics or related field.
Minimum of 2 years or 5 years)for Senior position(of relevant hands on experience in building end to end data piplines and analytics which includes:
Successfully designing and delivering automation/analytics/AI-enabled solutions (e.g., dashboards, workflow automation, AI/ML solutions, ETL procceses) that produced measurable improvements.
Experience coordinating cross-functional stakeholders, with hands-on project management in a matrix environment.
Preferred Experience:
Experience working across multiple countries or in regional programs.
Exposure to integrations with IT/ data science teams and vendor coordination.
This position is open to all candidates.
 
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06/10/2026
Location: Ra'anana
Job Type: Full Time
we are a dynamic technology firm dedicated to building exceptional products using modern technologies for the world's most admired companies. We pride ourselves on innovation, collaboration, and delivering excellence in every project.

Job Description
Responsibilities:

Design and maintain scalable data pipelines with Spark Structured Streaming.
Implement Lakehouse architecture with Apache Iceberg.
Develop ETL processes for data transformation.
Ensure data integrity, quality, and governance.
Collaborate with stakeholders and IT teams for seamless solution integration.
Optimize data processing workflows and performance.
Requirements:
5+ years in data engineering.
Expertise in Apache Spark and Spark Structured Streaming.
Hands-on experience with Apache Iceberg or similar data lakes.
Proficiency in Scala, Java, or Python.
Knowledge of big data technologies (Hadoop, Hive, Presto).
Experience with cloud platforms (AWS, Azure, GCP) and SQL.
Strong problem-solving, communication, and collaboration skills.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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8845410
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Location: Ra'anana
Job Type: Full Time
We are seeking an experienced and highly motivated Data Center Manager to lead the planning, operation, growth, and strategic development of our global lab and data center infrastructure. This role combines technical leadership, operational excellence, team management, and long-term capacity planning to support the company's rapid growth and evolving technological needs. Reports To: VP Global IT
The ideal candidate will bring extensive experience in large-scale data center environments, strong networking expertise, and a proven ability to lead teams and manage multiple sites while ensuring high availability, efficiency, and scalability.
Key Responsibilities
Leadership & Team Management
Partner with lab customers to define long term infrastructure roadmaps, anticipate future needs, and align lab growth with business and engineering objectives.
Lead, mentor, and develop a team of data center and lab engineers.
Establish operational standards, processes, and best practices across all lab locations.
Drive a culture of accountability, innovation, and continuous improvement.
Manage resource allocation and prioritize activities to meet business objectives.
Data Center & Lab Operations
Oversee the day to day operation of company labs and data center facilities.
Ensure high availability, reliability, and operational excellence across all environments.
Maintain real time visibility into lab status, capacity, utilization, and health.
Monitor infrastructure components, resource consumption, and workload distribution across the labs.
Provide ongoing operational reporting and status updates to management.
Strategic Planning & Capacity Management
Define and execute the long term growth strategy for the company's lab and data center infrastructure.
Forecast capacity requirements and proactively plan infrastructure expansion.
Monitor utilization trends, workload distribution, and resource consumption.
Optimize infrastructure allocation to maximize efficiency, performance, and scalability.
Develop forward looking plans to support upcoming projects and business initiatives.
Infrastructure Expansion & Projects
Lead the design, deployment, and commissioning of new data centers and lab facilities.
Plan and manage expansion projects for existing sites.
Coordinate infrastructure initiatives across multiple locations and stakeholders.
Ensure projects are delivered on time, within scope, and aligned with business needs.
Manage infrastructure lifecycle planning, including upgrades, replacements, and capacity enhancements.
דרישות:
Must Have
10+ years of experience in data center operations, infrastructure management, or related fields.
Strong hands-on expertise in networking technologies and large scale network infrastructures.
Proven experience managing teams of at least 10 employees in a global company.
Experience managing multiple data center or lab locations simultaneously.
Demonstrated success in capacity planning, infrastructure growth, and operational management.
Experience leading data center construction, expansion, or large scale infrastructure deployment projects.
Strong project management and execution skills.
Excellent leadership, communication, and stakeholder management capabilities.
Ability to operate effectively in a fast-paced, high-growth technology environment.
Nice to Have
Experience with liquid cooling technologies and next-generation data center cooling solutions.
Experience building or operating high density AI, HPC, or large scale compute environments.
Familiarity with infrastructure monitoring, automation, and orchestration platforms.
Experience managing global lab environments supporting R&D and product validation activities.
Success Metrics
High availability and operational stability across all lab and data center environments.
Accurate capacity planning and proactive infrastructure scaling.
Efficient workload balancing and optimal המשרה מיועדת לנשים ולגברים כאחד.
 
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