דרושים » תוכנה » Data Architect

we are the global leader in Go-to-Market Security, trusted by over 15,000 customers worldwide to protect every aspect of their marketing, sales and data operation from bots, fake users, fraud and cyber attacks.
Powered by award-winning cybersecurity technology, CHEQ offers the broadest suite of solutions for securing the entire funnel, from paid marketing to on-site conversion, data, and analytics.
CHEQ is a global company with offices in Tel-Aviv, New York, Tokyo, London
We are seeking an experienced Data Engineer with strong expertise in columnar databases and database engineering to design and maintain our main big data database and pipelines This role involves significant hands-on database engineering and DBA work within an AWS environment. The ideal candidate will have a deep understanding of columnar databases and experience in handling big data environments.
Responsibilities:
Design, implement, and maintain robust, scalable data pipelines and database solutions.
Optimize and manage large-scale data systems, focusing on columnar databases, specifically ClickHouse.
Collaborate with various stakeholders across the company like Product managers, developers and Data Scientists in order to deliver team tasks with high quality.
Handle database engineering tasks, including schema design, query optimization, and database administration in AWS environments.
Provide support for big data analytics by ensuring the reliability and efficiency of data storage and retrieval processes.

We're looking for a Big Data Developer to join our Data Engineering team in Tel Aviv.
You will be a part of our Data Management platform, that is responsible for processing, storing, and serving data for all our core systems.
As a Big Data Developer, we will encourage you to take a proactive & autonomous approach in research & development while working collaboratively with the team. Our ideal candidate is a fast but thorough problem solver, and a fun person to work with!
What Youll Do:
End-to-end development and ownership, from design to production, with a strong emphasis on innovation and efficiency.
Take part in building & designing the next generation of company Identity solutions.
Implement high scale Big-Data solutions and contribute to our platform infrastructure and architecture.
Research core technologies and integrations with external APIs and services.
Working with various stakeholders: Product, Engineering, Data providers etc.

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.

A growing tech company in the automotive space with hubs across the US and Israel. Our mission is to constantly disrupt the industry by creating groundbreaking technologies to help dealers build stronger, more resilient businesses. Our work happens in the fast lane as we bring AI-powered, data-driven solutions to a quickly evolving industry.

Our team consists of curious and creative individuals who are always looking to achieve the impossible. We are bold, collaborative, and goal-driven, and at our core, we believe every voice has value and can impact our bottom line.
If you are a creative, solutions-oriented individual who is ready to put your career in drive,the place for you!

We are looking for an experienced Data Engineering Tech Lead to join our team and make a real impact! In this hands-on role, you will drive the architecture, development, and optimization of our Data infrastructure, ensuring scalable and high-performance data solutions that support analytics, AI, and business intelligence needs. You will collaborate closely with analysts, Product, DevOps, and software engineers to cultivate a robust data ecosystem.

This position will report to the CISO and can be based out of Jerusalem or Tel-Aviv.

What you will be responsible for
Lead the design and implementation and maintenance of our DWH & Data Lake architecture to support both analytical and operational use cases.
Develop scalable ETL/ELT pipelines for ingestion, transformation, and optimization of structured and unstructured data.
Ensure data quality, governance, and security throughout the entire data lifecycle.
Optimize performance and cost-efficiency of data storage, processing, and retrieval.
Work closely with BI and analytics teams to guarantee seamless data integration with visualization tools.
Collaborate with stakeholders (BI teams, Product, and Engineering) to align data infrastructure with business needs.
Mentor and guide analysts, fostering a culture of best practices and professionalism.
Stay updated with industry trends and evaluate new technologies for continuous improvement.

We're looking for a Big Data Developer to join our Data Engineering team in Tel Aviv.
You will be a part of our Data Management platform, that is responsible for processing, storing, and serving data for all our core systems.
As a Big Data Developer, we will encourage you to take a proactive & autonomous approach in research & development while working collaboratively with the team. Our ideal candidate is a fast but thorough problem solver, and a fun person to work with!
What Youll Do:
End-to-end development and ownership, from design to production, with a strong emphasis on innovation and efficiency.
Take part in building & designing the next generation of company Identity solutions.
Implement high scale Big-Data solutions and contribute to our platform infrastructure and architecture.
Research core technologies and integrations with external APIs and services.
Working with various stakeholders: Product, Engineering, Data providers etc.