לוח משרות דרושים איש ביג דאטה Big Data משרה מלאה

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.

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 a global pioneer of RADAR systems for active military protection, counter-drone applications, critical infrastructure protection, and border surveillance.
Were seeking a Data Tech Lead to drive technical excellence in data engineering and analytics. As the go-to expert, youll set the technical direction, optimize data pipelines, and tackle programming challengesclosing knowledge gaps, solving data-related questions, and streamlining operations. Youll also design scalable architectures, manage ETL workflows, and enhance data processing efficiency.
Key Responsibilities:
Oversee the technical aspects of data projects by making architectural and design decisions.
Streamline existing operations and implement improvements with the teams collaboration.
Guiding team members in technical matters, and supervising system modifications.
Conducting Code reviews for data analysts, BI Analysts and data engineers.
Bridge technical knowledge gaps within the data team, answering critical product-related questions.

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)