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חברה חסויה
Location: Merkaz
Job Type: Full Time
We are looking for a Big Data Software Engineer to join our growing team. In this role, you will be responsible to design and development of our big data processing engine.
Responsibilities:
Design and development of high-quality big data processing engineer
Identify and proactively address potential product risks and challenges and ensuring success
Work closely with stakeholders to transform requirements into technical specifications
Ensure that the code is consistent with industry coding standards and best practices
Take a deep dive into the technical details and provide expert advice and solutions
Requirements:
5+ years of experience in the SW Engineering industry
5+ years of hands-on experience with Java development
3+ years of experience in Scala, Spark, Hadoop
Experience in Spark on K8s and Airflow a big plus
3+ years of experience with SQL and Non-SQL DBs
3+ years of proven experience of designing and building cloud application on AWS (Azure, GCP)
Experience with Spring Framework Advantage
Experience with microservice architecture Advantage
Experience of working with DevOps and working with CI/CD practices Advantage:
Deep understanding of Agile principles, practices and values
Solid understanding of design patterns, software development techniques, and clean code practices
Team player, strong communication skills, and a positive attitude
Fast learner, self-starter, broad-minded with a can do approach
Advanced English written and verbal communication skills
Bachelors, BScs or Masters degree in Computer Science or Engineering fields from leading academic school
This position is open to all candidates.
 
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חברה חסויה
Location:
Job Type: Full Time and English Speakers
We are looking for a Big Data Software Engineer to join our growing team. In this role, you will be responsible to design and development of our big data processing engine.
Responsibilities:
Design and development of high-quality big data processing engineer
Identify and proactively address potential product risks and challenges and ensuring success.
Work closely with stakeholders to transform requirements into technical specifications.
Ensure that the code is consistent with industry coding standards and best practices.
Take a deep dive into the technical details and provide expert advice and solutions.
Requirements:
5+ years of experience in the SW Engineering industry
5+ years of hands-on experience with Java development
3+ years of experience in Scala, Spark, Hadoop
Experience in Spark on K8s and Airflow a big plus
3+ years of experience with SQL and Non-SQL DBs
3+ years of proven experience of designing and building cloud application on AWS (Azure, GCP)
Experience with Spring Framework Advantage
Experience with microservice architecture Advantage
Experience of working with DevOps and working with CI/CD practices Advantage
Deep understanding of Agile principles, practices and values
Solid understanding of design patterns, software development techniques, and clean code practices
Team player, strong communication skills, and a positive attitde
Fast learner, self-starter, broad-minded with a can do approach
Advanced English written and verbal communication skills
Bachelors, BScs or Masters degree in Computer Science or Engineering fields from leading academic school
This position is open to all candidates.
 
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11/05/2025
חברה חסויה
Location: Herzliya
Job Type: Full Time
we are looking for a hands-on Data Engineer Team Lead with a strong technical background in data infrastructure to join our Data Engineering & Data Science Group.
The Data Engineering & Data Science Group is a rapidly expanding team of skilled engineers. By joining them, youll have the opportunity to make a meaningful impact in shaping our data platform and contributing to the groups strategic roadmap.
In this role, youll be responsible for the professional and personal development of your team. Youll lead the technological strategy, build the tech agenda, work closely with the product, data-analysts and data-scientists, and drive your team to be accountable owners of their work as they meet company business goals.
This role is full-time and is based in Herzliya, Israel.
Responsibilities
Build, lead, coach, and mentor the data engineering team
Dedicate 70% of your work to hands-on development
Manage the agile delivery life-cycle and the teams CI/CD pipelines
Ensure coding standards and implementation of best practices by conducting design and code reviews
Lead an innovative roadmap considering cutting edge technologies and open source frameworks
Collaborate with engineers, data architects, data analysts, and data scientists to develop solutions using a use case-driven approach, guiding the design and implementation of technical data flows
Build and expand our data infrastructure, including our data lake, analytics engine, orchestration tools and batch processing frameworks
Enhance and scale our ML platform, and automate the machine learning lifecycle.
Requirements:
A data-oriented mindset
7+ years of development experience, using a general purpose programming language (Python, Java, Scala, Kotlin, Go, etc)
4+ years of experience in data engineering - designing & building data pipelines, analytical tools, and data lakes
2+ years in a leadership role
Great interpersonal skills - a team player who is communicative and empathetic
Vast experience with Python - Big Advantage
deep experience in SQL/NoSQL databases and data lakes
Vast experience with the data engineering tech stack: ETL & Orchestration tools (e.g. Airflow, Argo, Prefect) and data processing tools (e.g Spark, Kafka, Presto, Iceberg, dbt)
Experience working in a containerized environment (e.g. k8s ) - advantage
Experience building and maintaining ML infrastructure - big advantage.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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חברה חסויה
Location: Petah Tikva
Job Type: Full Time
We are interested in welcoming a Big Data Expert to our diligent Big Data team and take overall responsibility for developing, executing, and maintaining strategy and workflow while anticipating possible consequences, changes, and trends.
We believe that the perfect candidate possesses excellent leadership, communication, and social skills to build an effective and motivated team, utilizing the full potential of the skills and expertise of each member.
Responsibilities and tasks include:
Implementation, tuning and ongoing administration of Big Data infrastructure on Hadoop cluster and other NoSQL platforms
Managing end-to-end availability, monitoring performance, and planning capacity using a variety of open source and developed toolsets
Research and perfect best practices to support implementation of new features and solutions in Big Data and NoSQL space
Perform all levels of DBA support (e.g., plan and coordinate patching/upgrades)
Manage database backup and recovery
Troubleshoot and resolve database/application issues in a timely manner, tuning performance at the DB and SQL levels.
Requirements:
Essential:
Minimum 5 years experience as database administrator (DBA) for large enterprise level clusters
Minimum 3 years experience as DBA supporting Big Data technologies (e.g., Hadoop, Spark, HBase, HDFS, Kafka, Zookeeper, MirrorMaker, Impala, Yarn), different data file formats, and NoSQL engines
Experience in DBA production support on at least one of the following DBMS platforms: MongoDB, ArangoDB, or MarkLogic
Expert communication, facilitation, and collaboration skills
Ability to present, explain, and provide advice to partners, as a subject matter expert within the Hadoop and NoSQL space
Experience in security configuration for Hadoop clusters using Kerberos or Sophia
Competency in conceptualization, foresight, enterprise perspective, consensus building, technical problem-solving skills
The ability to understand and adhere to firm incident, change, and problem management processes
Strong skills in project management methodologies like Agile, Kanban, and DevOps
Experience with ETL processes
Experience in infrastructure architecture and engineering experience, including functional and technical requirements gathering, and solution development
Bachelor's degree in computer science, computer engineering, or a related field, or the equivalent combination of education and related experience
Advantage to those who also have:
Scripting skills in Python, Perl, Java, KornShell, and AWK.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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25/05/2025
חברה חסויה
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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1 ימים
Location: Tel Aviv-Yafo
Job Type: Full Time and Temporary
We are looking for a Data Engineer to join our team and play a key role in designing, building, and maintaining scalable, cloud-based data pipelines. You will work with AWS (Redshift, S3, Glue, Managed Airflow, Lambda) to integrate, process, and analyze large datasets, ensuring data reliability and efficiency.
Your work will directly impact business intelligence, analytics, and data-driven decision-making across the
What Youll Do:
ETL & Data Processing: Develop and maintain ETL processes, integrating data from various sources (APIs, databases, external platforms) using Python, SQL, and cloud technologies.
Cloud & Big Data Technologies: Implement solutions using PySpark, Databricks, Airflow, and cloud platforms (AWS) to process large-scale datasets efficiently.
Data Modeling: Design and maintain logical and physical data models to support business needs.
Optimization & Scalability: Improve process efficiency and optimize runtime performance to handle large-scale data workloads.
Collaboration: Work closely with BI analysts and business stakeholders to define data requirements and functional specifications.
Monitoring & Troubleshooting: Ensure data integrity and reliability by proactively monitoring pipelines and resolving issues.
Data Modeling: Design and maintain logical and physical data models to support analytics and operational needs.
Requirements:
Education & Experience:
BSc in Computer Science, Engineering, or equivalent practical experience.
3+ years of experience in data engineering or related roles.
Technical Expertise:
Proficiency in Python for data engineering and automation.
Experience with Big Data technologies such as Spark, Databricks, DBT, and Airflow.
Hands-on experience with AWS services (S3, Redshift, Glue, Managed Airflow, Lambda)
Knowledge of Docker, Terraform, Kubernetes, and infrastructure automation.
Strong understanding of data warehouse (DWH) methodologies and best practices.
Soft Skills:
Strong problem-solving abilities and a proactive approach to learning new technologies.
Excellent communication and collaboration skills, with the ability to work independently and in a team.
Nice to Have (Big Advantage):
Experience with JavaScript, React, and Node.js.
Familiarity with K8s for infrastructure as code.
Experience with Retool for internal tool development.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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28/05/2025
חברה חסויה
Location: Tel Aviv-Yafo and Netanya
Job Type: Full Time
Required Big Data Engineering Lead
As a Big Data Engineering Lead within our Data & AI Department, you will play a pivotal role in designing, implementing, and optimizing Data & GenAI solutions that empower innovation and enable intelligent decision-making across our organization. In this role, you will lead the design of our future-proof data platform, ensuring it is scalable, open, extensible, high-performing, private & secure. You will also play a pivotal role in designing, implementing, and optimizing GenAI solutions related with data domain that drive innovation and enable intelligent decision-making. You will partner with engineering & business stakeholders to understand their data needs and deliver technological solutions that drive business value, leveraging cutting-edge AI technologies and robust data strategies. This is an opportunity to shape the future of data and AI and make a lasting impact.
As a Big Data Engineering Lead you will...
Lead the design and development of our petabyte-scale Lakehouse and modern data platform, drive architectural decisions, and provide technical leadership to ensure it meets scalability, performance, privacy, and security requirements.
Collaborate closely with top-notch engineers in implementation efforts to ensure alignment with architectural vision, tackle tough problems, and deliver creative solutions.
Provide hands-on expertise through platform development and conduct architecture proof-of-concepts to validate and recommend tools, technologies, and design decisions.
Promote the adoption and utilization of the data platform by collaborating with stakeholders to identify impactful use cases, developing enablement resources, and ensuring the platform delivers measurable business value.
Evaluate and recommend tools and technologies to support & proliferate Data & AI-driven decision-making and make data production and consumption widespread.
Requirements:
Bachelors or masters in computer science, Data Science, Machine Learning, or a related field, or equivalent industry experience, is required.
8+ years of experience in data engineering, or a related role, preferably in large-scale, complex environments, including prior experience as a software engineer.
Strong knowledge of big data technologies and data pipeline tools such as Kafka, Airflow, SPARK, ICEBERG, Presto and cloud-native services. Proficiency in programming languages such as Python, Java, or Scala.
Demonstrated success in leading major data initiatives, including building data architectures from the ground up.
Strong understanding of the intersection between software and data engineering, with experience in designing systems to meet complex and evolving data requirements.
Excellent communication, presentation, and stakeholder engagement skills, with the ability to work cross-functionally, convey complex technical concepts, and align diverse stakeholders toward common goals.
Comfortable operating and thriving in unexplored or ambiguous territory, with a high level of independence and self-motivation.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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חברה חסויה
Location:
Job Type: Full Time and English Speakers
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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25/05/2025
חברה חסויה
Location: Netanya
Job Type: Full Time
DRS RADA is a global pioneer of RADAR systems for active military protection, counter-drone applications, critical infrastructure protection, and border surveillance. Join Our Team as a Senior Data Engineer at DRS RADA Technologies! Job Summary: We are seeking an experienced Senior Data Engineer to join our data engineering team. In this role, you will play a crucial part in designing, developing, and maintaining scalable data pipelines and infrastructure to support our AI department. This is an opportunity to work with cutting-edge technologies in a fast-paced production environment, driving impactful, data-driven solutions for the business. Key Responsibilities:
* Design, develop, and optimize ETL/ELT pipelines for large-scale data processing.
* Work with a modern data stack, including Databricks (Spark, SQL), Apache Airflow Azure services
* Troubleshoot and optimize queries and jobs for performance improvements.
* Implement best practices for data governance, security, and monitoring.
* Stay updated with industry trends and emerging technologies in data engineering.
Requirements:
Required Qualifications: 4+ years of experience in data engineering or related fields.
* Proficiency in Python for data processing and automation.
* Expertise in Apache Airflow for workflow orchestration - Must
* Deep understanding of Apache Spark and Databricks for big data processing.
* Familiarity with cloud-based environments, particularly Azure
* Advanced proficiency in SQL and query optimizations
* Familiarity with data modeling, ETL/ELT principles, and performance tuning.
* Knowledge of CI/CD, containerization (Docker).
* An enthusiastic, fast-learning, team-oriented, and motivated individual who loves working with data. If you're passionate about building scalable data solutions and thrive in a fast-paced environment, we’d love to hear from you!
This position is open to all candidates.
 
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29/05/2025
חברה חסויה
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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11/05/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Were building the future workforce of Technology organization, while working tightly with domain owners and top management to define what per-role excellence means, leveraging data from development tools to help infer proficiency levels, providing tailored development plans and training & learning material, and harnessing the individuals themselves for their professional and personal development.
Responsibilities:
Design, implement, and maintain the complete data flow, from extraction to visualization using external tools Work within a product team where solutions are collaboratively proposed. You will be expected to translate requirements into technical designs and implement them as part of large-scale data engineering solutions Utilize various Machine Learning models to explore data, collaborating with cutting-edge Big Data tools and techniques Collaborate with various stakeholders to plan, design, develop, TEST and maintain extraordinary features Collaborating with a team of skilled developers to develop high-traffic, cloud-based applications.
Requirements:
Qualifications:
At least 5 years of experience in Big-Data technologies as a data engineer, including ETL /ELT processes and data exploration.
At least 3 years of experience in building end-to-end data pipelines using Spark, Databricks or similar tools is required.
At least 3 years of experience in Python programming and SQL queries. Experience as a backend Developer - advantage.
Team player committed to the success of the team.
Strong verbal and written communication skills with the ability to clearly explain technical concepts.
Excellent debugging, investigating and problem-solving abilities.
Curious learner who loves sharing knowledge and best practices, and can work both independently and in a team.
Ability to thrive in a fast-paced, ambiguous, and changing environment.
This position is open to all candidates.
 
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עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
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