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Location: Tel Aviv-Yafo
Job Type: Full Time
Required Data Infrastructure Engineer
Tel Aviv
We are using technology to transform transportation around the world. From changing a single persons daily commute to reducing humanitys collective environmental footprint weve got huge goals.
As a Data Engineer, you will join a talented team of engineers, in charge of our core data infrastructure, while working closely with other engineering and data teams. You will lead the development of complex solutions, work on various cutting edge technologies, and be a critical part in our mission to shape the future of transportation, affecting tens of thousands of riders daily worldwide.
What Youll Do:
Design, build, and maintain scalable data platforms, pipelines, and solutions for data ingestion, processing and orchestration, leveraging Kubernetes, Airflow, Kafka and more.
Develop and manage cloud-based data solutions on AWS utilizing Infrastructure as Code (IaC) frameworks like Terraform or CloudFormation
Manage Snowflake environments, including database architecture, resource provisioning, and access control.
Ensure system reliability and observability with monitoring, logging, and alerting tools like Prometheus and CloudWatch.
Continuously optimize storage, compute, and data processing costs and performance.
Requirements:
BSc. Computer Science, Engineering or similar.
Minimum of 4 years of professional experience in data engineering
Minimum of 4 years of professional experience in backend or software development
Independent, responsible, ready to face challenges head-on
Passionate about data engineering and constantly expanding your knowledge
Excellent communication and strong analytical and problem-solving skills
Proficient in Python
Experience with Data streaming, Kafka, Airflow, cloud platforms (preferably AWS), k8s, terraform or equivalents.
Have a solid background working with data warehousing technologies, such as Snowflake, Databricks, Redshift, BigQuery, etc.
This position is open to all candidates.
 
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29/05/2025
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Software Engineer to help the Data Team develop the core automation engine that powers our cutting-edge security platform.

This role goes beyond simple data processingits about building a scalable, well-architecture software foundation for high-performance, cloud-native cybersecurity applications. Youll be designing and implementing robust, maintainable, and testable software components that interact with massive-scale network security data.


Responsibilities:
Design and develop scalable, modular, and maintainable software solutions for our automation engine.
Focus on code structure and software design patterns to ensure maintainability and reliability.
Strong experience with software design principles, test-driven development (TDD), and CI/CD.
Work with large-scale distributed systems in a cloud-native environment (GCP, Kubernetes, microservices).
Collaborate with security researchers, data analysts, and product teams to turn innovative security concepts into production-grade solutions.
Requirements:
BS or MS degree in Computer Science or a related technical field.
3+ years of experience as a Software Developer or Data Engineer.
3+ years of Python development experience.
Extensive experience with various types of databases.
Proven experience in deploying pipelines on the cloud (GCP preferred), including testing, staging, and monitoring.
Proficient in applying software engineering best practices, including coding standards, code reviews, - CI/CD, and testing
Experience with K8s- Advantage.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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Location: Tel Aviv-Yafo
Job Type: Full Time
This is an exciting opportunity to blend data engineering and analysis in a pivotal full-stack role.

Youll be instrumental in ensuring our data's accuracy and availability, while also generating key insights to drive strategic decisions across Marketing, Product, R&D, Sales, and Customer Success. This role offers a unique chance to leverage both your technical skills and business understanding to extract actionable insights from complex data. Reporting directly to the CTO and collaborating with key stakeholders, youll have a significant impact on our data-driven culture.

Key Responsibilities

Own, maintain, and enhance data pipelines to guarantee data availability and quality.
Analyze and interpret complex data related to marketing, product performance, and user behavior.
Collaborate effectively with various teams to gather requirements, build data understanding, and communicate findings clearly.
Identify and resolve data discrepancies, defining the "source of truth" for crucial metrics.
Develop dashboards to monitor KPIs, assess performance against targets, and pinpoint areas for improvement.
Maintain user funnel dashboards, setting up alerts for anomalies and opportunities.
Implement proactive data monitoring and anomaly detection systems to ensure data accuracy and consistency.
Lead integrations with third-party platforms, optimizing data inputs for marketing tools and advertising platforms, potentially developing algorithms and triggers for targeted actions (e.g., engaging high-value, at-risk, or potential users).
Contribute to the development of our customer-facing Arena Analytics pipeline and data warehouse using tools like Fivetran, Snowflake, and ThoughtSpot.
Requirements:
3+ years of experience as a Data Analyst, Data Engineer, Full-Stack Data Analyst, or in a similar capacity.
A genuine enthusiasm for AI and a proactive approach to exploring and implementing AI technologies to enhance efficiency and drive our success.
Proven experience in a data-focused role, ideally within the SaaS industry, with a track record of building and maintaining complex data pipelines, dashboards, and integrations.
Strong analytical and problem-solving abilities to effectively dissect complex datasets.
Detail-oriented with a sharp ability to identify trends and anomalies.
Solid business acumen, strategic thinking, and a data-first approach.
Excellent communication skills to collaborate with diverse teams, elicit requirements, and articulate insights effectively.
Fluent in English, both written and spoken (all interviews and communications are in English).
Proficiency in data visualization tools such as Tableau and Power BI.
Experience with ETL management, particularly using tools like Xplenty and Fivetran.
Hands-on experience with ad hoc analyses and Snowflake SQL for deep data exploration.
Ability to integrate and work effectively with Google Analytics and various ad platforms.
Competence in managing Snowflake reader accounts and secure views.
Familiarity with dbt for data modeling and managing ETL processes.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Data Engineer to join our growing team!
In this role, you will be responsible for:
Designing, building, and maintaining scalable data pipeline architectures
Developing ETL processes to integrate data from multiple sources
Creating and optimizing data models for efficient storage and retrieval
Implementing data quality controls and monitoring systems
Collaborating with data scientists and analysts to deliver data solutions
Building and maintaining data warehouses and data lakes
Performing in-depth data analysis and providing insights to stakeholders
Taking full ownership of data quality, documentation, and governance processes
Building and maintaining comprehensive reports and dashboards
Ensuring data security and regulatory compliance.
Requirements:
Bachelor's degree in Computer Science, Engineering, or related field
3+ years experience in data engineering
Strong proficiency in SQL and Python
Experience with ETL tools and data warehousing solutions
Knowledge of big data technologies (Hadoop, Spark, etc.)
Experience with cloud platforms (AWS, Azure, or GCP)
Understanding of data modeling and database design principles
Familiarity with data visualization tools - Tableau, Sisense
Strong problem-solving and analytical skills
Excellent communication and collaboration abilities
Experience with version control systems (Git).
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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28/05/2025
Location: Tel Aviv-Yafo and Netanya
Job Type: Full Time
We are looking for a Data Engineering Lead to join our Platform Group.
In this role, you will drive the development of scalable data pipelines and infrastructures that are crucial to our platforms success. You will collaborate across departments, and innovate to ensure our data ecosystem is robust, secure, and optimized for growth.
As a Data Engineering Lead you will...
Architect and develop data pipelines Lead the design and implementation of data pipelines that support our platform, ensuring high data quality, security, and governance. Introduce new tools and technologies to enhance data workflows and integration
Develop a strategic roadmap that outlines key engineering solutions to support our platforms scalability and performance, aligned with our overall vision and objectives
Collaborate across teams Work closely with internal teams including DevOps, BI, Product, and development groups to ensure seamless data integration and drive data-driven decision-making across the organization
Establish data guidelines and documentation Define best practices for data generation, consumption, and management within the platform. Create thorough documentation for all data processes to facilitate clear communication and future maintenance.
Requirements:
5+ years hands-on proven experience designing, building, and optimizing scalable and highly available data-intensive systems
In-depth understanding of big data engines and frameworks, such as Spark, and experience with ETL/ELT tools for robust data pipeline development
Proven ability to lead initiatives and drive technical agendas in a hands-on capacity, with potential for team building in the future
Knowledge of machine learning frameworks and strategic industry trends a plus
Strong business skills and strategic thinking, an innovative and growth mindset
Strong interpersonal skills to collaborate with internal teams and external partners effectively.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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28/05/2025
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for highly talented, experienced, passionate, and data-driven DataOps/ Analytics Engineer.
This role bridges the gap between data engineering and analytics teams, focusing on the orchestration, maintenance, and optimization of our analytics infrastructure.
Responsibilities:
Orchestration Pipelines: Design and manage data orchestration pipelines using Dagster.
Data Modeling: Develop and enforce guidelines and standards for data modeling in dbt, ensuring comprehensive documentation and adherence to best practices.
Data Warehousing: Maintain and optimize our BigQuery data warehouse, focusing on performance monitoring, cost management, and data quality.
Data Catalog Management: Enhance and maintain our Data Hub data catalog.
CI/CD Management: Implement CI/CD processes, orchestration pipelines, and automated data quality monitoring to streamline workflows and reduce manual interventions.
Infrastructure Management: Utilize Kubernetes for hosting, and manage associated tools such as Elasticsearch and Grafana.
Data Quality: Implement and monitor data quality processes, including alerting and reporting mechanisms.
Development Workflow Optimization: Improve and maintain development workflows to ensure efficient and seamless data product delivery.
Collaborative Design: Work alongside business users and data analysts to design and build data models that enhance data discovery and analyses.
Standards and Best Practices: Contribute to internal standards for style, maintainability, and best practices for a high-scale data infrastructure.
Documentation and Scalability: Maintain documentation, manage technical debt, and ensure scalability of infrastructure.
Requirements:
3-5 years experience in DataOps / Data Engineer/ Bi Developer/ Analytics Engineer - Must
Proficiency in Python, Bash, SQL, and Jinja.
Deep understanding of data workflows, database architecture, and data modeling. (DBT)
Deep understanding of data warehousing, including performance monitoring, cost management, data partitioning, and query optimization. (Bigquery).
Familiarity with data cataloging. (DATAHUB).
Hands-on experience with CI/CD processes.
Basic knowledge of Kubernetes, Elasticsearch, and Grafana.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Customer Data Engineer.
As a Customer Data Engineer, you will be a part of a strong energetic, and fast-growing global team. You will be an integral part of clients' onboarding and ongoing data requests and projects. You will be working closely with internal PM and CSM teams as well as interacting directly with clients data teams across different business verticals. Your core responsibilities will involve playing an active role in collaborating with internal teams to construct tailored data transformations and manipulations while working with top-notch technology (Cloud tech etc.) The ideal candidate is an SQL whiz with a strong work ethic, robust analytical and technical capabilities, and highly effective time management skills. We are looking for a master multi-tasker who thrives in challenging, fast-paced environments, with agility and ease. 
The Customer Data Engineer is a position that brings with it an excellent opportunity to learn and grow within a rapidly expanding company on the cutting edge of Martech. 
Responsibilities:  
​Develop and support a wide range of data transformations and migrations 
Construct custom ETL processes: Design and implementation of data pipelines and data marts, access versatile data sources, and apply data quality measures 
Investigate data mismatches and apply solutions 
Work side by side and support the Customer Success teams in order to meet customer business needs. 
Interact with clients to understand business needs and collaborate on project scopes, planning, and execution. 
Requirements:
Graduate with a degree in Industrial Engineering and Management or a similar major 
Experience with databases and SQL - a Must 
Outstanding technical and analytical skills 
Highly motivated with an exceptional work ethic 
High attention to detail with an ability to work on multiple projects simultaneously 
Strong interpersonal and communication skills 
Quick, self-learning capabilities and creativity in problem-solving 
Preferred: 
Familiarity with Python 
Familiarity with Airflow, ETL tools, Snowflake and MSSQL 
Hands-on with VCS (Git) 
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
Were looking for an experienced data engineer to join our team and help lead the development of our data platform. If youre passionate about big data and love solving complex data problems at scale, come join the team!
What you'll do:
Take a leading part in the companys data strategy, designing and building data flows and data pipelines from scratch
Maintain and improve existing data pipelines and aggregation processes ingesting petabytes of data on a daily basis
Work closely with our data analysts, data scientists and engineering teams to define and optimize ways we use our data
Be the go-to person for every data related issue, assisting most teams within R&D.
Requirements:
5+ years of experience as a big data engineer
Prior experience writing in Python/SQL
Experienced with high-scale data pipelines over the cloud
Managed data flows over a cloud-based data warehouse. Experience with Google Bigquery or Snowflake - an advantage!
Prior work with event-based system and messaging queues such as Kafka, RabbitMQ or cloud-managed queueing solution -big plus
Working with DBT
Team player with great communication and presentation skills.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Data Engineer.
The Data Engineer position is a central role in the Tech Org. The Data Engineering (DE) team is a Change Agent Team that plays a significant role in the ongoing (at advanced stages) migration to cloud technologies. The ideal candidate is a senior data engineer with a strong technical background in data infrastructure, data architecture design and robust data pipes building. The candidate must also have collaborative abilities to interact effectively with Product managers, Data scientists, Onboarding engineers, and Support staff.
Responsibilities:
Deploy and maintain critical data pipelines in production.
Drive strategic technological initiatives and long-term plans from initial exploration and POC to going live in a hectic production environment.
Design infrastructural data services, coordinating with the Architecture team, R&D teams, Data Scientists, and product managers to build scalable data solutions.
Work in Agile process with Product Managers and other tech teams.
End-to-end responsibility for the development of data crunching and manipulation processes within the product.
Design and implement data pipelines and data marts.
Create data tools for various teams (e.g., onboarding teams) that assist them in building, testing, and optimizing the delivery of the product.
Explore and implement new data technologies to support data infrastructure.
Work closely with the core data science team to implement and maintain ML features and tools.
Requirements:
B.Sc. in Computer Science or equivalent.
4+ years of extensive SQL experience (preferably working in a production environment)
Experience with programming languages (preferably, Python) a must!
Experience working with Snowflake or with Google BigQuery
Experience with "Big Data" environments, tools, and data modeling (preferably in a production environment).
Strong capability in schema design and data modeling.
Understanding of micro-services architecture.
Working closely with BI developers
Quick, self-learning, and good problem-solving capabilities.
Good communication skills and collaboration.
Process and detailed oriented.
Passion for solving complex data problems.
Desired:
Familiarity with Airflow, ETL tools, and MSSQL.
Experience with GCP services.
Experience with Docker and Kubernetes.
Experience with PubSub/Kafka.
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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8118270
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תודה על שיתוף הפעולה
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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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8155581
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
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
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8188355
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דיווח על תוכן לא הולם או מפלה
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תיאור
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סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
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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דיווח על תוכן לא הולם או מפלה
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שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
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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דיווח על תוכן לא הולם או מפלה
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v נשלח
תודה על שיתוף הפעולה
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
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8184862
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