לוח משרות דרושים איש ביג דאטה Big Data במרכז

We are expanding, seeking an Oracle DBA (infrastructure and applications) for retraining to 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, seeking an experienced Linux professional who wishes to transition into the world of databases and 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, 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, seeking an experienced Python 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.

Module row data into data warehouse tables according to data modeling roles and practices.
Design data models and lead result driven analytics process based on Checkout strategy needs: such as customer risk scoring model, customers profiling and segmentation models, etc.
Work with stakeholders in the company, such as GTM, Strategy., Risk, Operations, Product, Tech for their data needs collection and prioritization.
Work with central data team and with Checkout data foundation team to define the Checkout data roadmap and deliverable. Create a process to track progress and timeline, while providing visibility to the different stakeholders.
Design analytical solutions for a wide range of Checkout org needs.
Expand data capabilities to support business decisions by providing accurate and user-friendly data models, insight, reports, and dashboards.
Built a process to support new initiatives go/ no go decision process.
Built an infrastructure to support market research and competitor analysis for benchmarking needs.
Be a hands-on manager while also being a strategic leader and bringing value to the Checkout organization.
Create internal documentation and glossaries of Checkout data structure and measurements.
Promote data driven business thinking and create self-service tools to support employees and managers across the organization.

Lead and mentor a team of data analysts, providing guidance, support, and professional development.
Collaborate with stakeholders across Operations, Product, Tech, and Program Managers to define data strategies and ensure alignment with business goals.
Design and implement scalable data models, dashboards, and reports that provide actionable insights.
Drive data-driven decision-making by analyzing trends, identifying opportunities, and proactively addressing challenges.
Establish and track key operational KPIs, ensuring data integrity and accuracy.
Manage multiple projects, prioritize tasks effectively, and ensure timely delivery of insights to support business objectives.
Advocate for best practices in data analysis, visualization, and data storytelling across the department.
Continuously improve processes, tools, and methodologies to optimize efficiency and impact.

Were looking for an experienced Data Engineer to join our amazing Data department and to help us to take our data platform and data usage to the next level. Our technology stack is based on Googles Cloud Platform and its different components.

What youll be spending your time on: 

Develop end-to-end data models: from gathering data sources to creating ETL processes that enable smarter, data-driven decisions.
Build automated validation processes to ensure data integrity, system stability, and data observability.
Optimize process run-times and provide scalable solutions to complex problems.
Take full ownership of designing, building, deploying, and maintaining data products.

We are seeking a talented and senior Engineer to join our Big Data Analytics Tools group in Israel.
This is an amazing opportunity to work with a world-class team and to hold responsibility for designing and implementing big data platforms and pipelines.
You will work with Engineers, Data Scientists, DevOps, and PMs and be in charge of designing and developing Apache Spark applications on AWS infrastructures that process large volumes of medical records securely while preserving patient privacy.
If you want to grow with us and work for a world leader company, now is the right time to join.
What You'll Do:
Be part of an engineering team that focuses on Crossix core technology and peripheral analytical tools
Design and implement highly reliable and scalable Spark applications that efficiently process big data
Collaborate with data scientists on the design and implementation of ML data pipelines using PySpark and Python
Integrate with relational databases, MongoDB, and AWS services (e.g., EMR, S3, SQS)
Work in an agile team to improve the development life cycle, development practices, and testing facilities

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 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.