לוח משרות דרושים איש ביג דאטה Big Data משרה מלאה, לחיפוש זה נמצאו 23 משרות

we are looking for a passionate and seasoned Senior Business data Analyst to join our data team. For this pivotal role, we require a professional with a minimum of 6 years of proven experience, showcasing a strong background in SQL, Tableau, and building/maintaining ETL processes. In this role, you will take the analytical lead on our disruptive B2C product and play a key role in driving customer acquisition, marketing performance, and strategic business growth. The ideal candidate possesses strong analytical and commercial thinking, a deep understanding of large-scale data environments, and the ability to translate complex datasets into actionable business insights. You will partner closely with data Science, Product, Marketing, and Business stakeholders to influence decision-making, optimize performance, and support scalable growth initiatives.
About the role:
How youll make an impact: Customer & Growth Analytics: Analyze customer acquisition funnels, campaign performance, and behavioral trends to identify growth opportunities and improve business performance. Strategic Decision Making: Partner with cross-functional stakeholders to provide actionable recommendations and support scalable, data -driven decision-making processes across the organization. Performance Optimization: Lead deep-dive analyses and A/B testing initiatives to optimize bidding strategies, channel efficiency, and marketing investments. data Visualization & Reporting: Build and maintain dashboards, reports, and visualizations that deliver clear and impactful business insights to technical and non-technical stakeholders. data Infrastructure Collaboration: Work closely with data Science and Analytics teams on data modeling, tracking methodologies, and scalable analytics solutions.

Experienced Data Engineer? Excellent team player?
Come join a great team to overcome meaningful cyber challenges!
Our Data Solutions Group is looking for an exceptional Python developer with Data Engineering experience.

We are looking for an experienced data Engineering team leader In this role, you will lead and strengthen our data Team, drive innovation, and ensure the robustness of our data and analytics platforms.
A day in the life and how youll make an impact:
* Drive the technical strategy and roadmap for the data engineering function, ensuring alignment with overall business objectives.
* Own the design, development, and evolution of scalable, high-performance data pipelines to enable diverse and growing business needs.
* Establish and enforce a strong data governance framework, including comprehensive data quality standards, monitoring, and security protocols, taking full accountability for data integrity and reliability.
* Lead the continuous enhancement and optimization of the data analytics platform and infrastructure, focusing on performance, scalability, and cost efficiency.
* Champion the complete data lifecycle, from robust infrastructure and data ingestion to detailed analysis and automated reporting, to maximize the strategic value of data and drive business growth.

Join our team and lead the design, implementation and maintaining cutting-edge Data Platforms and Big Data Solutions. In this position, you will have the unique opportunity to significantly impact intelligence processes, contribute to the counter - terrorism efforts and leveraging advanced Big Data technologies.
Design, install, maintain and upgrade Big Data technologies
Monitor and optimize system performance, identifying areas for improving and implementing solutions
Provide technical support to internal teams and end - users, ensuring seamless operations
Design and implement advanced infrastructure solutions using the Hadoop Ecosystem
Analyze user requirements, evaluate and recommend new technologies in the Big Data domain.

We are looking for developers interested in joining exciting and innovative bigdata projects
This is a great opportunity for individuals seeking to develop solutions to the most challenging problems in the bigdata field, dealing with operational requirements while using cutting edge technologies.

We are seeking a highly organized and detail-oriented Operations Manager with a strong background in complex project management and a passion for AI technology and photography.

As the Operations Manager you will coordinate outsourced data tagging tasks, acting as a keystone between the product and AI teams to external partners and play a pivotal role in ensuring the seamless execution of tasks, a critical component of our AI algorithms for photographers.

Responsibilities:
Requirement Gathering: collaborate closely with the product and AI team to gather and understand the task requirements.
Task Planning: create comprehensive project plans that outline the technical description, goals, scope, timeline, and resources required for each task.
Task Monitoring: continuously monitor the progress, track success criteria, and address any issues or delays promptly.
Quality Control: conduct regular quality assessments of the annotated data from outsourcing agencies, ensuring alignment with our strict quality benchmarks.
Team Collaboration: act as the primary point of contact between the teams, providing regular updates on project status and addressing any questions or concerns in a positive and collaborative manner.
Enhancement and Refinement: actively seek feedback, both internally and from outsourcing partners, to iterate on and improve the annotation process and outcomes.

We are looking for an experienced NLP Data Science Team Leader to lead a team of talented NLP Data Scientists and drive the development of cutting-edge NLP solutions at scale. This role combines hands-on technical leadership, people management, and strategic influence over product and research directions.



Responsibilities

Lead and grow a team of NLP Data Scientists
Manage, mentor, and support team members professional development
Foster a culture of excellence, ownership, and continuous learning
Own end-to-end delivery of NLP solutions
Oversee algorithmic features from ideation through research, development, and production
Ensure high-quality, scalable, and maintainable solutions
Drive technical direction and innovation
Guide research efforts and evaluate new NLP/ML technologies
Translate business needs into impactful NLP solutions
Collaborate cross-functionally
Work closely with Product, Engineering, and Business stakeholders
Align team priorities with company goals and product roadmap
Maintain hands-on involvement
Contribute to architecture, modeling, and critical algorithmic challenges
Review code, experiments, and methodologies
Scale impact
Improve processes, workflows, and best practices for research and production
Ensure efficient use of large-scale data and infrastructure

As a Senior DevOps Engineer within the XSPM team, you will be a critical, go-to technical expert responsible for the health, performance, and evolution of our database and infrastructure systems. When production databases degrade or behave unexpectedly, you are the person who dives deep, investigating root causes hands-on, understanding the underlying mechanics of the problem, and designing lasting solutions. Your mastery of database systems makes you the authority the team relies on to diagnose complex performance issues, architect better data solutions, and ensure our infrastructure scales with confidence.

Beyond databases, you will drive our DevOps practices end-to-end - CI/CD pipelines, infrastructure automation, and operational reliability across the XSPM platform. This is a high-impact, highly visible role at the intersection of database engineering and DevOps, where your expertise directly shapes how the team delivers and operates at scale.

We're a highly collaborative, friendly, inclusive and diverse group that prizes collaboration over competition. We provide opportunities to learn new skills, mentor fellow engineers, and contribute to the direction of both the team and the products for which we're responsible. We work in a distributed, high-trust environment where you manage your own time and have the flexibility to balance your work and personal life.

What You Will Do:

Serve as the team's database expert, the first person to investigate, diagnose, and resolve complex performance problems across our production database systems (MongoDB, OpenSearch, PostgreSQL, Cassandra).

Perform deep-dive root cause analysis on database performance issues, understanding query execution internals, resource consumption patterns, cluster behavior, and system-level interactions to identify the real source of problems, not just symptoms.

Design and propose better database architectures and solutions, recommending when to re-architect data models, migrate workloads, introduce new technologies, or redesign how services interact with their data layer.

* You will put in every effort within the team to ensure the data architecture is well designed.

Own capacity planning, scaling strategies, and high-availability designs for database clusters, ensuring systems are built to handle the team's growth trajectory.

Act as the bridge between development and infrastructure, advising engineers on how their application patterns impact database performance and guiding them toward sustainable solutions.

Build and maintain CI/CD pipelines, infrastructure-as-code (Terraform, Helm, Kubernetes manifests), and automated deployment workflows for the xspm team's services.

Design and manage observability stacks, dashboards, alerting rules, and SLOs, to maintain best-in-class availability for critical data pipelines and services.

Drive infrastructure automation to reduce operational toil, including automated scaling, self-healing systems, and configuration management.

Participate in on-call rotations, incident response, and post-incident reviews, driving root-cause analysis and long-term reliability improvements.

Evaluate and adopt new database technologies and infrastructure tooling that align with the team's evolving data architecture needs.

Were looking for a Data Engineer who wants to own the full pipeline: from raw event ingestion through distributed processing and into the serving layer that powers our clients dashboards and APIs. This isnt internal tooling - youll be building the actual product surface that advertisers and marketers rely on to understand whats working on the web.
As AI reshapes how data is processed, queried, and served, youll also have the opportunity to integrate AI and LLM-based capabilities into our data workflows - from intelligent data validation and anomaly detection to AI-powered analytics interfaces that make our platform smarter for clients.
What youll do:
Build & Own End-to-End Pipelines: Design, build, and optimize data pipelines that process billions of web events (sessions, in-app events, conversions) with strict freshness and accuracy SLAs. Youll work across the entire attribution data stack - from ingestion and distributed processing through to the serving layer.
Ensure Data Integrity: Own the correctness of complex attribution logic - deduplication, organic vs. non-organic classification, primary attribution resolution, and cross-platform user stitching across massive, partitioned datasets.
Performance Engineering: Optimize scalable distributed processes to meet strict client SLAs. Tune jobs, queries, and pipeline scheduling for maximum throughput and minimum latency.
Ship Client-Facing Features: Partner with Product, R&D, and client-facing teams to turn raw web signals into production-grade, queryable data products that advertisers interact with directly.
Leverage AI in Data Workflows: Explore and integrate AI/ML capabilities into the data platform - from automated data-quality checks and anomaly detection to LLM-powered analytics tools that enhance how clients interact with their data.

we are looking for a Senior Backend Engineer.
What youll do:
Take full ownership of products and features, from initial design to final production, empowering you to have a tangible impact throughout the entire development process.
Thrive on solving diverse and complex problems at scale, even when faced with limited clarity on the optimal solution approach. Your ability to navigate and conquer such challenges will be highly valued.
Collaborate closely with Product Managers, Analysts, Data Scientists, and Software Engineers, working together to deliver exceptional value to our customers. Your contributions will directly contribute to shaping the success of our products.
Dive deep into the analysis and optimization of performance, scalability, and stability across our product portfolio, as well as the environments and tools supporting them. Your insights and improvements will have a significant impact on ensuring our technological excellence.
Embrace a continuous learning mindset, constantly exploring and evaluating new technologies. This commitment to innovation ensures that our products and systems remain at the forefront of the industry, effortlessly adapting to the ever-growing scale of our operations.
Elevate your impact by mentoring others, leading projects, and advocating for engineering best practices within your team. Your influence will extend beyond your own work, fostering a culture of growth and excellence.
Rise to the challenge of sharing your expertise with the wider tech community. Whether speaking at meetups/conferences, penning insightful blog posts, contributing to existing open-source projects, or releasing new open-source software, your voice will shape and inspire others.

We are expanding, seeking an experienced BI developer for challenging work in the world of Big Data.
Design, develop & maintain the BIG DATA platform (Vertica).
Design, develop & maintain the BIG DATA infrastructure (development, monitoring, installation, integration, etc)
Be part of the dynamic and agile core DBA team.
Collaborate with field engineers for the deployment phases.
Work on major, challenging projects with enterprise and startup customers.
Job location - Herzliya, Israel.

We are expanding and is looking for a DBA - preferably with SingleStore/Vertica experience. Work on major, challenging projects with enterprise and startup customers.
Design, develop & maintain the BIG DATA platform (SingleStore/Vertica).
Design, develop & maintain the BIG DATA infrastructure (development, monitoring, installation, integration, etc)
Be part of the dynamic and agile core DBA team.
Collaborate with field engineers for the deployment phases.
We may consider candidates who wish to transition from other databases to the world of Big Data.
Job location - Herzliya, Israel.

As a Software Data Platform Team Leader, you will lead a team of expert developers in building high-scale, data-intensive solutions that deliver low-latency insights and ML-driven capabilities. You will champion technical excellence across our state-of-the-art stack including Spark, Kafka, and data lakes while collaborating with stakeholders to transform complex data into real customer value.

Responsibilities
As a Software Data Platform Team Leader, Your impact will be:

Lead a team of talented developers, driving the core of our product throughout its development lifecycle to deliver reliable, low-latency insights and ML-driven capabilities at massive scale.
Ensure technical excellence, high product quality, innovation, and on-time delivery in an agile environment.
Collaborate closely with Product Management, development teams, and other stakeholders to transform ideas into real customer value.
Actively participate in the R&D Leadership Forum, contributing to discussions that shape the future of our product.
Mentor and support team members in their professional growth and career development.

As a Senior Big Data Engineer, working within our Mobility Group, you will play a pivotal role in designing, developing, and maintaining the data infrastructure that powers our location analytics platform.

RESPONSIBILITIES:
Data Pipeline Architecture and Development: Design, build, and optimize robust and scalable data pipelines to process, transform, and integrate large volumes of data from various sources into our analytics platform.
Data Quality Assurance: Implement data validation, cleansing, and enrichment techniques to ensure high-quality and consistent data across the platform.
Performance Optimization: Identify performance bottlenecks and optimize data processing and storage mechanisms to enhance overall system performance and reduce latency.
Cloud Infrastructure: Work extensively with cloud-based technologies (GCP and AWS), to design and manage scalable data infrastructure.
Collaboration: Collaborate with cross-functional teams including Data Analysts, Data Scientists, Product Managers, and Software Engineers to understand requirements and deliver solutions that meet business needs.
Data Governance: Implement and enforce data governance practices, ensuring compliance with relevant regulations and best practices related to data privacy and security.
Monitoring and Maintenance: Monitor the health and performance of data pipelines, troubleshoot issues, and ensure high availability of data infrastructure.
Mentorship: Provide technical guidance and mentorship to junior data engineers, fostering a culture of learning and growth within the team.

We're a leading force in the ad tech industry, revolutionizing how brands connect with their audiences. Our platform processes billions of ad impressions daily, generating massive datasets that drive our core business. We thrive on innovation and seek a Data Engineer to help us build and scale the data infrastructure that powers our insights and analytics. This is a unique opportunity to work with cutting-edge technologies and make a direct impact on our products.
What will you do?
As a Big Data Engineer, you'll be a key part of our data platform team, responsible for designing, building, and maintaining robust and scalable data pipelines. You'll work closely with data scientists, analysts, and server side engineers to ensure our data is reliable, accessible, and ready for analysis. Your expertise will be crucial in expanding our data warehouse and data lake capabilities, enabling us to deliver next-generation ad tech solutions.
Your mission will be to:
Develop and Optimize Data Pipelines: Design, build, and maintain ETL/ELT pipelines using Apache Spark to ingest, process, and transform large-scale datasets from various sources.
Manage Cloud Infrastructure: Architect and manage our data infrastructure primarily on Google Cloud Platform (GCP) or Amazon Web Services (AWS). This includes services like BigQuery, S3, GCS, EMR, and AirFlow.
Enhance Data Storage: Improve and manage our data warehouse and data lake solutions, ensuring data quality, consistency, and accessibility for business intelligence and machine learning applications.
Collaborate and Innovate: Partner with cross-functional teams to understand data needs and implement solutions that support new product features and business initiatives.
Ensure Data Integrity: Implement monitoring, alerting, and logging systems to maintain data pipeline health and ensure data accuracy.