לוח משרות דרושים איש ביג דאטה Big Data

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