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25/05/2025
Location: Merkaz
Job Type: Full Time
abra is a leading technology solutions provider with over 1000 experts specializing in various fields such as BI/AI, ERP, CRM, Web & Mobile, R&D Solutions, Cyber Security, Cloud & Infrastructure, e-Commerce, and Strategy Realization. We offer a range of integrated technological solutions tailored to meet our customers' specific needs, with a focus on fostering growth and evolution in diverse industries and sectors. As business partners with renowned software manufacturers like Microsoft, Salesforce, SAP, Oracle, and more, we ensure the delivery of innovative and reliable solutions to our clients.
Requirements:
We are looking for a Dynamics Analyst to join our team. The role includes analyzing business requirements and implementing technological solutions within Dynamics 365. The analyst will work closely with development teams and clients, analyzing needs and developing customized solutions to meet the organization's business objectives. Requirements:
* Bachelor's degree in Computer Science or Industrial Engineering and Management.
* Strong analytical skills and understanding of business processes.
* Familiarity with Dynamics 365 – advantage.
* Ability to work with clients and excellent interpersonal communication.
* Good command of English.
This position is open to all candidates.
 
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25/05/2025
Location: Tel Aviv-Yafo
Job Type: Full Time
About the Role Appdome is building a new data Department, and were looking for a skilled data Engineer to help shape our data infrastructure. If you thrive in fast-paced environments, take ownership, and enjoy working on scalable data solutions, this role is for you. You'll have the opportunity to grow, influence key decisions, and collaborate with security experts and product teams. What Youll Do
* Design, build, and maintain scalable data pipelines, ETL processes, and data infrastructure.
* Optimize data Storage and retrieval for structured and unstructured data.
* Integrate data solutions into Appdomes products in collaboration with software engineers, security experts, and data scientists.
* Apply DevOps best practices (CI/CD, infrastructure as code, observability) for efficient data processing.
* Work with AWS (EC2, Athena, RDS) and ElasticSearch for data indexing and retrieval.
* Optimize and maintain SQL and NoSQL databases.
* Utilize Docker and Kubernetes for containerization and orchestration.
Requirements:
* B.Sc. in Computer Science, data Engineering, or a related field.
* 3+ years of hands-on experience in large-scale data infrastructures.
* Strong Python programming, with expertise in PySpark and Pandas.
* Deep knowledge of SQL and NoSQL databases, including performance optimization.
* Experience with ElasticSearch and AWS cloud services.
* Solid understanding of DevOps practices, Big Data tools, Git, and Jenkins.
* Familiarity with microservices and event-driven design.
* Strong problem-solving skills and a proactive, independent mindset. Advantages
* Experience with LangChain, ClickHouse, DynamoDB, Redis, and Apache Kafka.
* Knowledge of Metabase for data visualization.
* Experience with RESTful APIs and Node.js. Talent We Are Looking For Independent & Self-Driven Comfortable building from the ground up. Growth-Oriented Eager to develop professionally and take on leadership roles. Innovative Passionate about solving complex data challenges. Collaborative Strong communicator who works well with cross-functional teams. Adaptable Thrives in a fast-paced, dynamic environment with a can-do attitude. About the Company: Appdome's mission is to protect every mobile app worldwide and its users. We provide mobile brands with the only patented, centralized, data -driven Mobile Cyber Defense Automation platform. Our platform delivers rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events threat-aware UI / UX control, ThreatScope Mobile XDR, and Certified Secure DevSecOps Certification in one integrated system. With Appdome, mobile Developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, TEST, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from within mobile DevOps and CI/CD pipelines. Leading financial, healthcare, m-commerce, consumer, and B2B brands use Appdome to upgrade mobile DevSecOps and protect Android & IOS apps, mobile customers, and businesses globally. Today, Appdome's customers use our platform to secure over 50,000+ mobile apps, with protection for over 1 billion mobile end users projected.
Appdome is an Equal Opportunity Employer. We are committed to diversity, equity, and inclusion in our workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment without regard to any of these characteristics.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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25/05/2025
Location: Tzafon
Job Type: Full Time
We are looking for a skilled and proactive Database Administrator to join our dynamic team. As a Database Administrator , you will be responsible for designing, implementing, and managing data lake architecture to meet business needs while ensuring high performance, security, and compliance. Key Responsibilities:
* Design, implement, and manage data lake architecture to support business objectives.
* Monitor and optimize data lake performance for high availability and reliability.
* Develop and enforce data governance policies and procedures.
* Collaborate with data engineers, data scientists, and other stakeholders to integrate data sources and support analytics initiatives.
* Implement security measures to safeguard sensitive data and ensure regulatory compliance.
* Troubleshoot and resolve issues related to data ingestion, storage, and processing.
* Maintain comprehensive documentation of data lake processes, configurations, and best practices.
* Stay up-to-date with the latest trends and technologies in data management and analytics.
Requirements:
* Bachelor's degree in Computer Science, Information Technology, or a related field (preferred).
* Proven experience in data lake administration, data management, or similar roles (required).
* Strong expertise in MS-SQL administration (required).
* In-depth knowledge of Azure Data Factory, Synapse, and Data Fabric (required).
* Experience with Terraform (preferred).
* Familiarity with data lake technologies such as Hadoop, Spark, and cloud-based solutions (e.g., AWS, Azure) (required for Azure; AWS is a plus).
* Proficiency in programming languages such as Python, Java, or Scala (preferred).
* Experience with data governance and security practices (preferred).
* Excellent problem-solving skills with strong attention to detail.
* Strong communication and collaboration skills.
* Fluent in English, both written and verbal.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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25/05/2025
Location: Tel Aviv-Yafo
Job Type: Full Time
At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We are looking for an experienced Senior Data Engineer to join our Data team. In this role, you will lead and strengthen our Data Team, drive innovation, and ensure the robustness of our data/analytics platforms.
A day in the life and how you’ll make an impact:
* Design and develop high-performance Data Pipelines and ETL processes to support diverse business needs.
* Work closely with Business Intelligence, Sales, and other teams to integrate data solutions, ensuring seamless alignment and collaboration across functions.
* Continuously improve our data analytics platforms, optimizing system performance and ensuring robust, reliable data infrastructure.
* Oversee the entire data lifecycle, from infrastructure setup and data acquisition to detailed analysis and automated reporting, driving business growth through data-driven insights.
* Implement robust data quality checks, monitoring mechanisms, and data governance policies to maintain data integrity and security, troubleshooting and resolving any data-related issues efficiently.
Requirements:
* B.Sc. in computer science/information systems engineering
* 5+ years of experience in data engineering (Preferably from a startup company)
* Familiarity with data engineering tech stack, including ETL tools (Airflow, Spark, Flink, Kafka, Pubsub).
* Strong SQL expertise, working with various databases (relational and NoSQL) such as MySQL, FireStore, Redis, and ElasticSearch.
* Experience with cloud-based data warehouse solutions like BigQuery, Snowflake, and Oracle, and proficiency in working with public clouds (AWS/GCP).
* Coding experience with Python
* Experience with dashboard tools.
* Ability to communicate ideas and analyze results effectively, both verbally and in writing.

Why UVeye: Pioneer Advanced Solutions: Harness cutting-edge technologies in AI, machine learning, and computer vision to revolutionize vehicle inspections. Drive Global Impact: Your innovations will play a crucial role in enhancing automotive safety and reliability, impacting lives and businesses on an international scale. Career Growth Opportunities: Participate in a journey of rapid development, surrounded by groundbreaking advancements and strategic industry partnerships.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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25/05/2025
Location: Or Yehuda
Job Type: Full Time
We are looking for a passionate, curious, dedicated Data Scientist. we rely on insightful data to power our systems and solutions and are seeking an experienced data scientist to join our R&D team.
Job Description:
Talented data engineer with strong background in media (audio\voice\video) and text, media-oriented ETL pipelines for a full-time job in Israel (center) under the media technology group.
You will have a pivotal role in the development and implementation of our next level data platform, aimed at supporting the research and development of new AI based products for extracting insights from conversations, meetings, and chats.
Responsibilities:
Responsible for defining and implementing media-oriented ETL pipelines for multi-lingual textual and audio\video corpuses.
Capable of vertical work from problem definition to product implementation.
Ability to work under pressure in both individual and teamwork.
Excellent interpersonal skills
Requirements:
B.Sc. / M.Sc. in Computer science / Data Engineering / Physics
Graduated with honors from a well-known university
GPA > 90
Minimum 4 years of experience in data engineering ETL pipelines development focused on text processing.
Strong background with Python programming
AWS cloud services: EC2, S3, RDS, EMR, Lambda, Message Queue.
SQL - MySQL \ PostgreSQL, NoSQL MongoDB \ DynamoDB
Linux native and container knowledge
Git and CI\CD, preferably Jenkins & Gerrit
Well versed in MPP solutions, preferably OSS or AWS managed
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
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8191600
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Location: Herzliya
Job Type: Full Time
Required Data Engineer
Herzliya
Were a passionate, collaborative, and professionally diverse Data Platform team, famous for building world-class high-scale infrastructure that processes tens of millions of events per second.
Now, were evolving our mission: applying our engineering excellence to the world of data engineering, metadata systems, and agentic AI.
This is a brand-new challenge, and were looking for an exceptional Data Engineer to join us.
If youre ready to pioneer the future of data engineering with AI, wed love to have you on board the rocketship
What youll do:
Architect metadata-aware data platforms that support scalable and observable pipelines
Create and evolve knowledge graphs, schemas, and lineage tracking systems
Drive the teams expertise in data modeling, schema evolution, and privacy-first engineering
Work with high-scale data ETLs and Data Serving layers on AWS and GCP.
Build and maintain data foundations for agentic AI systems.
Design and build advanced solutions to analyze metadata, identify data quality issues, and provide remediation insights.
Collaborate with internal teams across platform, product, and data domains.
Requirements:
4+ years of hands-on experience in backend, data engineering, or data platform engineering roles
Deep knowledge of data modeling, pipeline architecture, and large-scale data operations
Familiarity with metadata frameworks (DataHub, OpenMetadata, DataPlex, etc)
Proficiency in public cloud environments such as AWS and GCP, working with tools like Athena, EMR, BigQuery, Vertex AI
Familiarity with data governance, schema evolution, and privacy-first principles
Solid backend engineering foundations, with the ability to design robust services and APIs
A collaborative mindset, curiosity, and drive to learn and lead
Bonus points
Passionate about building or integrating LLM-based systems (LangChain, RAG, vector DBs, etc.)
Recommended by an employee.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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22/05/2025
Location: Tel Aviv-Yafo
Job Type: Full Time
Data Engineer
We're hiring an experienced Data Engineer to join our growing team of analytics experts in order to help & lead the build-out of our data integration and pipeline processes, tools and platform.
The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.
The right candidate must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our companys data architecture to support our next generation of products and data initiatives.
In this role, you will be responsible for:
Create ELT/Streaming processes and SQL queries to bring data to/from the data warehouse and other data sources.
Establish scalable, efficient, automated processes for large-scale data analyses.
Support the development of performance dashboards & data sets that will generate the right insight.
Work with business owners and partners to build data sets that answer their specific business questions.
Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organization.
Works closely with all business units and engineering teams to develop a strategy for long-term data platform architecture.
Own the data lake pipelines, maintenance, improvements and schema.
Requirements:
BS or MS degree in Computer Science or a related technical field.
3-4 years of Python / Java development experience.
3-4 years of experience as a Data Engineer or in a similar role (BI developer).
3-4 years of direct experience with SQL (No-SQL is a plus), data modeling, data warehousing, and building ELT/ETL pipelines - MUST
Experience working with cloud environments (AWS preferred) and big data technologies (EMR,EC2, S3 ) - DBT is an advantage.
Experience working with Airflow - big advantage
Experience working with Kubernetes advantage
Experience working with at least in one of the big data environments: Snowflake, Vertica, Hadoop (Impala/Hive), Redshift etc MUST
Experience working with Spark advantage
Exceptional troubleshooting and problem-solving abilities.
Excellent verbal/written communication & data presentation skills, including experience communicating to both business and technical teams.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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8188355
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22/05/2025
Location: Tel Aviv-Yafo
Job Type: Full Time
Senior Data Engineer
We're hiring an experienced Data Engineer to join our growing team of analytics experts in order to help & lead the build-out of our data integration and pipeline processes, tools and platform.
The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.
The right candidate must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our companys data architecture to support our next generation of products and data initiatives.
In this role, you will be responsible for:
Create ELT/Streaming processes and SQL queries to bring data to/from the data warehouse and other data sources.
Establish scalable, efficient, automated processes for large-scale data analyses.
Support the development of performance dashboards & data sets that will generate the right insight.
Work with business owners and partners to build data sets that answer their specific business questions.
Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organization.
Works closely with all business units and engineering teams to develop a strategy for long-term data platform architecture.
Own the data lake pipelines, maintenance, improvements and schema.
Requirements:
BS or MS degree in Computer Science or a related technical field.
5+ years of Python / Java development experience.
5+ years of experience as a Data Engineer or in a similar role (BI developer).
5+ years of direct experience with SQL (No-SQL is a plus), data modeling, data warehousing, and building ELT/ETL pipelines - MUST
Experience working with cloud environments (AWS preferred) and big data technologies (EMR,EC2, S3 ) - DBT is an advantage.
Experience working with Airflow - big advantage
Experience working with Kubernetes advantage
Experience working with at least in one of the big data environments: Snowflake, Vertica, Hadoop (Impala/Hive), Redshift etc MUST
Experience working with Spark advantage
Exceptional troubleshooting and problem-solving abilities.
Excellent verbal/written communication & data presentation skills, including experience communicating to both business and technical teams.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8188350
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Location: Merkaz
We are looking for a candidate with a proven ability to simplify, innovate, and transform complex systems into streamlined, adaptable, and intelligent applications that meet cutting-edge business needs. The ideal individual will be self-motivated and adept at addressing the data requirements of diverse teams, systems, and products. This role offers the opportunity to optimize and reimagine customers' data infrastructure, designing and scaling systems that power next-generation products and GenAI technologies. A strong focus on ensuring data quality, security, and governance across the organization is essential.
Responsibilities:
Support sales processes by designing and delivering agile data and AI projects in collaboration with the account managers, project managers, and delivery managers .
Lead strategic discussions with business stakeholders to understand organizational data needs and identify opportunities to derive actionable insights, enabling data-driven decision-making and aligning data strategies with business objectives.
Own the technical solutions for data, analytics, AI, and ML projects.
Build POCs for customers (hands-on).
Deliver top-quality design and architecture documents to our customers.
Build and control training plans for the team members towards new technologies required for future projects.
Requirements:
5+ years of experience as senior Data engineer and or Data Architect
Ability to translate business challenges into technical solutions
Excellent customer-facing skills
Hands-on experiences with AWS Data Cloud Services
Experience supporting and working with external customers in a dynamic environment
A team player who can efficiently collaborate with C-Level, developers, and sales teams
Hands-on attitude and experience in system design, PoC, and integration using cloud and other web services and APIs
Working experience with DB technologies (SQL, non-SQL), Data analytics, AI and ML
Deep understanding of ETL, ELT processes
Experience in functional and scripting languages: Python, Scala, etc.
Proven experience in technical leadership of small and large-scale cloud data projects
Snowflake knowledge is an advantage
Working experience with AWS's various eco-system and services - additional cloud environments - an advantage
Articulate verbal and written communication
Bachelor's (Master preferred) degree in Computer Science, Mathematics, Informatics, Information Systems, or another quantitative field
Proven curiosity and ability to quickly self-learn
Fluency in Hebrew and English is essential
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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8185513
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Location: Merkaz
Job Type: Full Time
We are looking for a savvy Senior Data Engineer to join our growing team of data experts. The hire will be responsible for migrating to the cloud, optimizing our customers databases and data flows, and enriching our operational and functional data flows with AI/ML algorithms.
The ideal candidate is not afraid of data in any form or scale, and is experienced with cloud services to ingest, stream, store, and manipulate data. The Data Engineer will support new system designs and migrate existing ones, working closely with solutions architects, project managers, and data scientists. The candidate must be self-directed, a fast learner, and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or re-designing our customers data architecture to support their next generation of products, data initiatives, and machine learning systems.
Summary of Key Responsibilities:
To meet compliance and regulatory requirements, keep our customers data separated and secure.
Design, Build, and operate the infrastructure required for optimal data extraction, transformation, and loading from a wide variety of data sources using SQL, cloud migration tools, and big data technologies.
Optimize various RDBMS engines in the cloud and solve customers' security, performance, and operational problems.
Design, build, and operate large, complex data lakes that meet functional / non-functional business requirements.
Optimize various data types' ingestion, storage, processing, and retrieval, from near real-time events and IoT to unstructured data such as images, audio, video, documents, and in between.
Work with customers' and internal stakeholders including the Executive, Product, Data, Software Development and Design teams to assist with data-related technical issues and support their data infrastructure and business needs.
Requirements:
5+ years of experience in a Data Engineer role in a cloud native ecosystem.
3+ years of experience in AWS Data Services (mandatory)
Bachelor's (Graduate preferred) degree in Computer Science, Mathematics, Informatics, Information Systems or another quantitative field.
Working experience with the following technologies/tools:
big data tools: Spark, ElasticSearch, Kafka, Kinesis etc.
Relational SQL and NoSQL databases, such as MySQL or Postgres and DynamoDB or Cassandra.
Functional and scripting languages: Python, Java, Scala, etc.
Advanced SQL
Experience building and optimizing big data pipelines, architectures and data sets.
Working knowledge of message queuing, stream processing, and highly scalable big data stores.
Experience supporting and working with external customers in a dynamic environment.
Articulate with great communication and presentation skills
Team player who can train as well as learn from others.
Fluency in Hebrew and English is essential
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8185466
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
20/05/2025
Location: Tel Aviv-Yafo
Job Type: Full Time
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.
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
Requirements:
B.Sc. in Engineering or a related field
3 - 10 years of experience as a Data Engineer working on production systems
Advanced SQL knowledge and experience with relational databases
Proven experience using Python
Hands-on experience building, optimizing, and automating data pipelines, architectures, and data sets
Experience in creating and maintaining ETL/ELT processes
Strong project management and organizational skills
Strong collaboration skills with both technical (R&D) and non-technical (business) teams
Advantage: experience with Azure services such as Storage Accounts, Databricks, EventHub, and Spark
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8184909
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
20/05/2025
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a highly motivated and experienced Data and Software Engineering Team Leader to join the Agent group. With a strong background in BI development, machine learning, AI systems, and tech leadership, you will guide a team in building next-generation SASE application and measurements. If you're passionate about cyber security, distributed systems, and shaping cutting-edge technology, this is your chance to make a broad impact.

The Agent group is responsible for developing robust VPN and Internet Security applications. As a team leader, you'll drive technological innovation, mentor a high-performing team, and write scalable, maintainable, and efficient code that forms the core of our on-device protection.

Key Responsibilities
Lead, manage, and mentor a team of software engineers from diverse technical backgrounds.
Own measurement and analysis solutions development, task tracking, and deadline management.
Collaborate closely with cross-functional teams and customers to address complex problems and develop innovative features.
Drive the creation of robust, various scalable measurement and analysis solutions for Agent applications.
Foster a culture of continuous improvement within the team.
Requirements:
5+ years of software development experience, including 3+ years in a leadership role.
Proven ability to lead, inspire, and motivate a team of talented developers.
Expertise in modern programming languages (e.g., Swift, C#, Java).
Familiarity with shared modules development and integration (C/C++).
Experience in an Agile development environment.
Proficiency in BI / data measurement and analysis.
Strong verbal and written communication skills, with the ability to present ideas and drive innovation.
BSc in Computer Science, Software Engineering, or equivalent knowledge.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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עדכון קורות החיים לפני שליחה
8184862
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
Location: Tel Aviv-Yafo
Job Type: Full Time
Required Senior Data Engineer
Main responsibilities:
Provide the direction of our data architecture. Determine the right tools for the right jobs. We collaborate on the requirements and then you call the shots on what gets built.
Manage end-to-end execution of high-performance, large-scale data-driven projects, including design, implementation, and ongoing maintenance.
Optimize and monitor the team-related cloud costs.
Design and construct monitoring tools to ensure the efficiency and reliability of data processes.
Implement CI/CD for Data Workflows.
Requirements:
5+ Years of Experience in data engineering and big data at large scales. - Must
Extensive experience with modern data stack - Must:
Snowflake, Delta Lake, Iceberg, BigQuery, Redshift
Kafka, RabbitMQ, or similar for real-time data processing.
Pyspark, Databricks
Strong software development background with Python/OOP and hands-on experience in building large-scale data pipelines. - Must
Hands-on experience with Docker and Kubernetes. - Must
Expertise in ETL development, data modeling, and data warehousing best practices.
Knowledge of monitoring & observability (Datadog, Prometheus, ELK, etc)
Experience with infrastructure as code, deployment automation, and CI/CD.
Practices using tools such as Helm, ArgoCD, Terraform, GitHub Actions, and Jenkins.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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עדכון קורות החיים לפני שליחה
8183567
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
Location: Tel Aviv-Yafo
Job Type: Full Time
Data Infrastructure team is seeking a talented Data (Infra) Engineer to join us.
In this role, youll play a key part in shaping the strategic direction of our data infrastructure, driving high-impact projects across the organization. Youll lead the development of robust, scalable systems that support massive data flows, optimize cloud resource usage, and implement modern DevOps practices to improve system reliability, performance, and efficiency.
Were looking for someone who thrives in a fast-paced, collaborative environment and is passionate about building the infrastructure that powers cutting-edge data products.
In This Role, You Will:
Shape Data Architecture: Guide strategic decisions around data infrastructure components, collaborate on requirements, and own system design and implementation.
Lead Projects: Drive end-to-end delivery of high-scale, data-intensive projects from design through deployment and maintenance.
Optimize Cloud Costs: Monitor and fine-tune cloud usage to ensure cost-effective performance across environments.
Enhance Reliability: Build tools and processes to ensure data systems are efficient, reliable, and highly available.
Integrate DevOps Practices: Automate and streamline workflows with CI/CD, container orchestration, and Infrastructure as Code for scalable, reliable deployments.
Work with a Modern Stack: Azure, GCP, Kubernetes, ArgoCD, Jenkins, Databricks, Snowflake, Aerospike, Neo4J, Airflow, RDBMS, Spark-operator, Kafka, Microservices, Bash, Python, SQL.
Requirements:
5+ Years of Experience: Solid background as a Data Engineer or Data Infrastructure Engineer.
Data Infrastructure Expertise: Proficient in working with tools like Snowflake, PostgreSQL, Kafka, Aerospike, Spark, and object storage systems.
Cloud Experience: Hands-on experience with cloud platforms like Azure, GCP, or AWS, and know-how to navigate cloud-native architectures.
Coding & Scripting: Skilled in Python (or similar languages) and comfortable using Bash/Shell for automation tasks.
DevOps Skills (Nice to Have): Experience with Docker, Kubernetes, Terraform, ArgoCD, and Linux. Knowledge of networking and load balancing is a bonus.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8183548
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v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
15/05/2025
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.

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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עדכון קורות החיים לפני שליחה
8178923
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