לוח משרות דרושים איש ביג דאטה Big Data במרכז

XM Cyber is a global leader in hybrid cloud security. XM Cyber brings a new approach that uses the attacker’s perspective to find and remediate critical attack paths across on-premises and multi-cloud networks. The XM Cyber platform enables companies to rapidly prioritize and respond to cyber risks affecting their business-sensitive systems. We are seeking a talented and motivated BI Lead to build our Tableau environment from the ground up. The ideal candidate will have strong analytical skills, a deep understanding of data visualization principles, and the expertise to transform data into actionable insights. You will play a single and critical role in designing, developing, and implementing Tableau dashboards and reports that facilitate data-driven decision-making within our organization. Responsibilities:
* Environment Setup: Establish and configure the Tableau environment, including server setup, user access, and security protocols.
* Data Integration: Collaborate with data engineering and IT teams to gather, clean, and integrate data from multiple sources (Salesforce, MongoDB, APIs) into Tableau.
* Dashboard Development: Design, create, and maintain interactive and user-friendly
* Tableau dashboards and reports that meet the needs of various stakeholders across the organization.
* Data Modeling: Develop and document data models and schemas to ensure efficient data retrieval and analysis.
* Business Requirements Gathering: Work closely with business users to understand their reporting needs and translate them into technical specifications.
* Performance Optimization: Monitor and optimize the performance of Tableau reports and dashboards, ensuring they meet performance standards and are scalable.
* Training and Support: Provide training and support to end-users, guiding them on how to utilize Tableau for self-service analytics.
* Documentation: Maintain comprehensive documentation of the Tableau environment, data sources, dashboards, and user training materials.
* Continuous Improvement: Stay updated on the latest Tableau features and best practices, and continuously seek opportunities to enhance and optimize the reporting capabilities.

looking for a skilled data engineer to join a cutting-edge project supporting a military technology unit. This role offers a unique opportunity to work on innovative cloud-based data infrastructure within a secure and challenging environment.

Responsibilities:
Data Infrastructure Development: Design, build, and manage advanced data infrastructure in Google Cloud Platform (GCP) to support the operational and analytical needs of the units clients.
Data Pipeline Engineering: Develop robust and scalable data pipelines in GCP, perform integrations with diverse data sources, and enable AI/ML workflows using tools such as Dataflow, Pub/Sub, and BigQuery.
ETL & DWH Automation: Improve, optimize, and automate ETL processes and data warehouse operations in the cloud.
Cross-Organizational Tech Support: Participate in high-impact, cross-organizational technology projects in a dynamic and innovative technical environment.

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.

We are looking for a Senior Back-end Engineer who will develop solutions that transform unstructured electronic communication data (from phone calls, chats, emails, etc.) into actionable intelligence for financial institutions.

What Youll Do:
Design and implement feature requests.
Optimize system scalability and resilience.
Work closely with the Product Team and Architects.
Support and maintain the production environments.

We are looking for a talented and experienced big data engineer to join our cyber defence group to take over a cutting-edge data solution.

The successful candidate should have hands-on experience with big data processing technologies and architectures.

The candidate will join our growing team of analysts, developers, data scientists, and architects who design and develop innovative solutions to the most critical needs of our customers.



Responsibilities

Designing, architecting, implementing, and supporting our data pipelines and processing flows.
Collaborate with analytics department to analyze and understand data sources.
Provide insights and guidance on database technology and data modelling best practices.
Insure the maintenance of data integrity, managing data and analysis flows with attention to detail and high responsibility.
Implementing algorithms with our data scientists.

Our Data team consists of highly skilled senior software and data professionals who collaborate to solve complex data challenges. We process billions of records daily from multiple sources using multi-stage pipelines with intricate data structures and advanced queries.
We are responsible for building data pipelines end to endfrom raw data ingestion to the creation of actionable datasetsfollowing the bronze, silver, and gold paradigm. This includes business logic, infrastructure, ETLs, optimization, and ongoing maintenance.
The data we deliver drives insights and decision-making across the organization and enhances our product offerings. We leverage technologies such as AWS, Snowflake, Iceberg, Airflow, Spark, and more.
What Youll Do?
Develop and maintain ETL pipelines, including complex SQL queries.
Bridge the gap between business requirements and technical solutions.
Design, develop, and optimize scalable data infrastructure.
Write high-quality, maintainable code and SQL.
Utilize technologies such as Snowflake, Iceberg, Airflow, Spark, and other data infrastructure tools.
Integrate external data sources into our data ecosystem.
Contribute to the evolution of our AWS-based infrastructure.

Who are we
we are an Israeli-founded big data analytics company (Stock: NYSE: DV). We track and analyze tens of billions of ads every day for the biggest brands in the world.
We operate at a massive scale, handling over 100B events per day and over 1M RPS at peak, we process events in real-time at low latencies (ms) and analyze over 2.5M video years every day. We verify that all ads are fraud free, appear next to appropriate content, appear to people in the right geography and measure the viewability and users engagement throughout the ads lifecycle.
We are global, with HQ in NYC and R&D centers in Tel Aviv, New York, Finland, Berlin, Belgium and San Diego. We work in a fast-paced environment and have a lot of challenges to solve. If you like to work in a huge scale environment and want to help us build products that have a huge impact on the industry, and the web - then your place is with us.
What you will do
You will work in a team of data and backend engineers producing user attentiveness insights and recommendations that help big brands optimize their digital advertising strategy.
You will process 10s of billions of records a day using mainly Python and Scala, utilizing advanced technologies like Spark, Kafka, Docker, Kubernetes, DataBricks and GCP managed solutions.
You will build data pipelines that integrate with internal and external data sources from various platforms to enhance business insights while keeping standards high with testing, automated deployment and high degree of observability.
You will be responsible for defining solutions and delivering them while collaborating with engineering & product teams on productionizing & monitoring your solutions.
You will explore, implement and support multiple data initiatives and projects at the same time.

Were hiring our first Business Intelligence Analyst to lay the foundation for data-driven culture. This role is built for someone whos deeply business-minded, analytical, and excited to translate data into meaningful insights. Youre curious about how the business works, eager to answer real questions with real data, and have the drive to independently learn and master new tools and systems. Youre comfortable navigating data environments and can connect the dots between business needs and data solutions.

This is a unique opportunity to join a fast-scaling startup in a hot space and shape how data drives strategy and execution from day one.

Responsibilities
Work closely with management to understand what matters most, and define the metrics that drive our business forward
Collaborate with R&D and developers to make sure the right data is flowing in, accurate, and accessible
Connect tools like Salesforce and NetSuite into a unified, trustworthy view of the company
Turn complex data into simple, beautiful dashboards that teams actually use
Help shape a culture where data isnt just availableits useful, actionable, and part of every conversation

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

As a Team Lead, you will have the opportunity to significantly impact intelligence processes and contribute to counter-terrorism efforts by designing and implementing cutting-edge big data solutions on various platforms.
Responsibilities
Manage and lead a team of Big Data engineer.
Design and implement advanced infrastructure solutions using Hadoop Ecosystem.
Work closely with other departments within the organization to understand their needs and develop tailored solutions.
Analyze user requirements and recommend new tools and technologies in the field of Big Data.
Develop self-service solutions for managing and creating infrastructure under team's responsibility.
Manage large-scale projects while meeting deadlines and targets.

We are seeking for a Big Data Engineer with data architect skills to join our team and contribute to our advanced and challenging technological environment.
In this role, you will collaborate with diverse professionals working on projects that involve planning and designing processes in large and complex systems.
You will develop infrastructure components for pipeline in the big data environment using airflow as a data flow manager tool.
You will advise and support data engineers and developers in designing architecture and implementing solutions on top of big data platforms using various technologies.

We are seeking an experience and skilled Big Data Infrastructure Admin with passion for data.
Responsibilities
Monitor, install and upgrade Big Data technologies based mainly on Hadoop Ecosystem including hdfs, yarn, spark, trino, ect.
Providing technical support and assistance to internal teams and end-users.
Monitoring and maintaining system performance and making recommendations for improvements.
Design and implement advanced infrastructure solutions using Hadoop Ecosystem.
Analyze user requirements, test and recommend new tools and technologies in the field of Big Data.
Develop self-service solutions for managing and creating infrastructure under your team's responsibility.

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.