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At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.
Our unique data and solutions empower over 4,300 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies.
In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical and good people.
We are looking for a Data Engineer to join our team and help advance our Apps solution. Our product is designed to provide detailed and accurate insights into Apps Analytics, such as traffic estimation, revenue analysis, and app characterization. The role involves constructing and maintaining scalable data pipelines, developing and integrating machine learning models, and ensuring data integrity and efficiency. You will work closely with a diverse team of scientists, engineers, analysts, and collaborate with business and product stakeholders.
Key Responsibilities:
Develop and implement complex, innovative big data ML algorithms for new features, working in collaboration with data scientists and analysts.
Optimize and maintain end-to-end data pipelines using big data technologies to ensure efficiency and performance.
Monitor data pipelines to ensure data integrity and promptly troubleshoot any issues that arise.

At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.

Our unique data and solutions empower over 4,300 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies.

In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical and good people.



We are seeking a skilled Data/ Backend Engineer to design and implement complex, high-scale systems that retrieve, process, and analyze data from the digital world. This role involves developing and maintaining backend infrastructure, creating robust data pipelines, and ensuring the seamless operation of data-driven products and services.



Key Responsibilities:

- Design and build high-scale systems and services to support data infrastructure and production systems.

- Develop and maintain data processing pipelines using technologies such as PySpark, Hadoop, and Databricks.

- Implement dockerized high-performance microservices and manage their deployment.

- Monitor and debug backend systems and data pipelines to identify and resolve bottlenecks and failures.

- Work collaboratively with data scientists, analysts, and other engineers to develop and maintain data-driven solutions.

- Ensure data is ingested correctly from various sources and is processed efficiently.

Avanan was acquired by Check Point and it is now Check Points Email Security and collaboration solution.

We are looking for a brilliant QA Automation Engineer to join our team. Create and manage a large scale systems using cutting edge technologies in an agile environment.

Work will include maintenance of servers software and OS, scaling our system, tuning of systems, deployment of our application to production environments and monitoring.

Key Responsibilities
Develop and maintain automated test frameworks using Python and Pytest for infrastructure components.
Implement Behavior-Driven Development (BDD) practices to create clear and concise test scenarios and specifications.
Design and execute comprehensive test suites for infrastructure systems deployed on AWS.
Collaborate with cross-functional teams to understand testing requirements and incorporate them into the automation strategy.
Scale and optimize test automation infrastructure to handle massive production tests efficiently.
Monitor and analyze test results using Grafana to identify performance bottlenecks and areas for improvement.
Generate detailed test reports using Allure to provide stakeholders with insights into test coverage, results, and trends.
Investigate and troubleshoot issues discovered during testing, working closely with development teams to resolve them.
Stay up-to-date with industry best practices and emerging technologies in test automation and infrastructure testing.
Mentor junior team members and provide guidance on test automation techniques and best practices.