לוח משרות דרושים איש ביג דאטה Big Data

We are seeking a Senior Data Engineer to join our dynamic data team. In this role, you will design, build, and maintain robust data systems and infrastructure that support data collection, processing, and analysis. Your expertise will be crucial in developing scalable data pipelines, ensuring data quality, and collaborating with cross-functional teams to deliver actionable insights.

Key Responsibilities:

Design, develop, and maintain scalable ETL processes for data transformation and integration.
Build and manage data pipelines to support analytics and operational needs.
Ensure data accuracy, integrity, and consistency across various sources and systems.
Collaborate with data scientists and analysts to support AI model deployment and data-driven decision-making.
Optimize data storage solutions, including data lakehouses and databases, to enhance performance and scalability..
Monitor and troubleshoot data workflows to maintain system reliability.
Stay updated with emerging technologies and best practices in data engineering.

In this role, you will work closely with data scientists, analysts, and other cross-functional teams to understand their data needs and requirements. You will also be responsible for ensuring that data is easily accessible and can be used to support data-driven decision making.

Location: Ramat Gan, Hybrid Model

What will you do?

Design, build, and maintain data pipelines to extract, transform, and load data from various sources, including databases, APIs, and flat files
Enhance our data warehouse system to dynamically support multiple analytics use cases
Reimplement and productize scientific computational methods
Implement data governance policies and procedures to ensure data quality, security, and privacy
Collaborate with data scientists and other cross-functional teams to understand their data needs and requirements
Develop and maintain documentation for data pipelines, processes, and systems

We are looking for a hands-on data Architect to design, build, and optimize a cutting-edge data Lakehouse solution from the ground up. This role requires deep technical expertise in Big Data architectures, data modeling, ETL /ELT pipelines, cloud & on-prem solutions, and Real-Time analytics. As part of a fast-paced startup, youll be directly involved in coding, implementing, and scaling the platform not just designing, but building alongside the team. Youll take ownership of data strategies, governance, and architecture to enable high-performance analytics, AI, and business intelligence
Key Responsibilities Hands-On Architecture & Development: Build and deploy a scalable, open-source data Lakehouse integrating structured, semi-structured, and unstructured data.
* Design Real-Time and batch data processing pipelines using open-source frameworks (Apache Spark, Flink, Trino, Iceberg, Delta Lake, etc.).
* Develop cost-effective, high-performance data Storage strategies (columnar formats: Parquet, ORC).
* Implement best practices for data security, governance, access control, and compliance (GDPR, CCPA, etc.).
* Ensure seamless data integration across cloud and on-prem environments. data Engineering & ETL Pipelines:
* Develop high-performance ETL /ELT pipelines to ingest data from diverse sources (APIs, databases, IoT, logs).
* Optimize query performance using indexing, caching, materialized views, and distributed computing
* Implement metadata-driven, schema evolution-friendly data ingestion strategies.
* Ensure data quality, lineage, and observability across the entire pipeline. Collaboration & Execution: Work hands-on with data Engineers, BI Analysts, and ML Engineers to build an integrated platform.
* Define data cataloging and self-service analytics capabilities for internal users.
* Drive technical decision-making while balancing speed and scalability.
* Stay ahead of emerging trends in data architecture, ensuring best practices are implemented.

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.

You will work in an energetic startup environment following Agile concepts and methodologies. Joining the company at this unique and exciting stage in our growth journey creates an exceptional opportunity to take part in shaping data infrastructure at the forefront of Fintech and AI.

What you'll do:

Design, build, and maintain scalable data pipelines and ETL processes for our financial data platform

Develop and optimize data infrastructure to support real-time analytics and reporting

Implement data governance, security, and privacy controls to ensure data quality and compliance

Create and maintain documentation for data platforms and processes

Collaborate with data scientists and analysts to deliver actionable insights to our customers

Troubleshoot and resolve data infrastructure issues efficiently

Monitor system performance and implement optimizations

Stay current with emerging technologies and implement innovative solutions

We are looking for a Sr. Data/Algorithm Infrastructure Engineer to join our growing Data/Algo infra team. This is a key position in the design and development of ML / AI / algorithmic infrastructure to support the development of our next generation iTero scanners.
Key Responsibilities

Own significant parts in the design and development of our data / MLops infrastructure to support the development of ML/AI models and Algorithmic features.
Take part in the design, development and optimization of algorithmic infrastructure components of ITero scanner.
Work with large clinical datasets to support the development of real-life ML/AI solutions which would make real impact on the wellbeing of patients.
Work with Algorithm and ML engineers to identify future challenges and possible solutions.
Own the quality of your code over time.
Consistently demonstrate innovative thinking, strong partnership and high work ethics.

We are searching for an innovative and experienced Senior Big Data Engineer that will join us and be part of our big data group.

As a Senior Big Data Engineer, you will:

Lead the architecture and development of mission-critical, diverse and large-scale data pipelines over both public and on-prem cloud solutions.
Derive policies for data storage and versioning over peta-bytes scale complex storage solutions of multiple data lakes.
Design and develop smart ML infrastructure in order to build Agile ML processes (MLOps).
Work with Data Scientists to understand needs and design ML infrastructure solutions
Be a part of a collaborative heterogeneous data team which includes developers, data scientists, data engineers, MLOps and data scouts.

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 Senior BI Analyst 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.

Were looking for a Senior Data Platform Engineer to join our Data Platform team. The ideal candidate will have extensive experience with data engineering, specifically with Kafka and Elasticsearch, to design and maintain our data platforms. You will work closely with cross-functional teams to ensure the scalability and reliability of our data solutions.

Job Summary:
As a Senior Data Platform Engineer, you'll be responsible for design, development, maintenance, troubleshooting, and implementation of our big data architecture. Your expertise in Elastic, Kafka, and Java will be critical in ensuring the scalability and performance of our data systems.

What youll do:

Implement data processing pipelines using Kafka for real-time data streaming.
Optimize and manage search capabilities using Elastic technologies.
Collaborate with product managers, data analysts, and other stakeholders to gather requirements and translate them into technical specifications.
Oversee code reviews, ensure best practices in coding and data handling, and maintain high-quality standards in software development.
Stay up-to-date with emerging trends and technologies in big data and recommend improvements to our architecture and processes.
Troubleshoot and resolve issues in a timely manner to minimize downtime and ensure system reliability.

We're looking for a Senior Data Engineer to help expand our cloud team's capabilities. Our team owns the central cloud services for the entire company, including a unique content management infrastructure that forms the core of our product. As a senior data engineer, you will work with cutting-edge technologies, designing and implementing advanced SaaS solutions and large-scale data processes. We seek someone who is self-driven, motivated, independent, and a strong team player.

Build and optimize scalable data pipelines and services, with a focus on performance and efficiency.
Drive new feature creation within complex data systems by gathering requirements, crafting robust architecture, and delivering high-quality solutions.
Collaborate with multiple teams across the company to ensure the integration of data-driven features and services.
Solve complex challenges in a fast-paced and evolving environment while maintaining high-quality standards.
Ensure system reliability and robustness through CI/CD pipelines, Agile Scrum methodologies, and proactive testing.

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).

We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our dynamic AI team. The ideal candidate will have a strong background in machine learning, data engineering, and software engineering, and will be responsible for leading the design, development, and deployment of cutting-edge machine learning pipelines and systems.
What you'll be doing
System Design and Architecture: Develop and maintain robust, scalable, and efficient ML pipelines including data collection, preprocess, and analyze large datasets to facilitate model training, evaluation and monitoring.
Research and Innovation: Stay current with the latest advancements in machine learning and AI, and apply innovative techniques to improve model performance and application.
Mentorship and Leadership: Provide technical guidance and mentorship to junior engineers and data scientists, and lead project teams to successful completion.
Cross-Functional Collaboration: Work closely with data scientists, software engineers, architects and product managers to integrate machine learning solutions into production systems.

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.

Lead process for setting data-driven goals, develop forecasting models to predict growth, and assess impact of high-priority growth initiatives and develop a long-term plan for enhancing Waze's attribution methodologies.
Monitor Waze's performance against goals, analyze root causes of deviations, and provide executive leadership with data-driven insights for informed decision-making.
Collaborate on in-depth analytical projects, uncover insights to drive product enhancements and improve user experience. Ensure Waze and Geo are aligned on key metrics, identify proxy metrics, and guide the design of new metrics to provide a comprehensive view of driving behavior across platforms.
Drive efforts in leveraging next generation data science capabilities to address new problem areas.
Serve as a thought leader within Waze and beyond, using data analysis and business acumen to shape product roadmaps, measurement strategies, and drive strategic decision-making.