לוח משרות דרושים איש ביג דאטה Big Data בתל אביב יפו

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.

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

Were looking for brilliant data engineers to join our rapidly growing team.

You will join a team consisting of senior software and data engineers that drive our data platform from data acquisition, to processing and enrichment and all the way to business insights. You will join an early stage team and company and will have a major impact on the decisions and architecture of our various products.

Responsibilities
Design and build data acquisition pipelines that acquire, clean, and structure large datasets to form the basis of our data platform and IP
Design and build data pipelines integrating many different data sources and forms
Define architecture, evaluate tools and open source projects to use within our environment
Develop and maintain features in production to serve our customers
Collaborate with product managers, data scientists, data analysts and full-stack engineers to deliver our product to top tier retail customers
Take a leading part in the development of our enterprise-grade technology platform and ecosystem
Harmonize and clean large datasets from different sources

As a Data Researcher , you will be responsible for the core asset of the company - ensuring the ongoing accuracy and superior performance of what is widely recognized as the industry's leading e-commerce fraud decisioning system. You will be empowered and expected to constantly innovate, devising smart logical and technical solutions to address real and evolving business challenges faced by the world's largest and most sophisticated online retailers, who constitute our primary clientele.

You will join a dynamic department with a deeply ingrained culture of striving for excellence and being the best in our field. We foster an informal, collaborative environment where your contributions are highly valued. This role offers significant growth opportunities, with clear pathways for advancement in both managerial and senior individual contributor (IC) capacities, allowing you to shape your career based on your strengths and aspirations. Your work will directly influence our product, protect our customers, and help define the future of trust in digital commerce.

What you'll be doing:

Play a major role in the creation, development, implementation, and ongoing improvement of our decision-making logic within our live production environment.
Conduct in-depth research into complex fraud patterns and emerging threats.
Utilizing vast and rich datasets to extract insights that drive actionable decisions to enhance the precision of our systems.
Developing new, innovative system components and models, along with refining and advancing our feature engineering processes.
Collaborate with a team of the industrys leading researchers, data scientists, and software engineers to develop the next generation of AI technology.

We are looking for an experienced Data Product Manager to work in our Data Product team within the Ad Network. As a Data Product Manager you will be responsible for finding ways to leverage data throughout the entire product lifecycle to improve our advertising solution. You will be responsible to balance the strategy, governance, and implementation of anything data-related, and facilitate the conversations between all impacted stakeholders (executives, engineers, analysts, other product teams and other data consumers).
This role is part of a small team of data products who are responsible for data flow and business logic across the organization from the raw data levels up until the consumption by reporting an ml processes. We re working on building and singular data pipeline and creating one source of truth for all the data while supporting ongoing needs for ml and reporting. This team is in the center of all projects and enables the organization to make data based decision.
What you'll be doing:
Define data flow
Enhance existing data product (BI Portal, Aggregated data and other data products)
Translate requirements of large data initiatives into smaller actionable items
Lead and motivate a team of data engineers
Prioritize
Communicate timelines to organization
Key member in major projects (from kickoff until handover to business from a product/tech perspective)
Focal point across the company on data
Increase data accessibility (surface data where people need it when they need it)
Increase data democratization (make it easier for people to manipulate the data)

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.

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.