Data Engineer

A profitable global tech company in the E-commerce sector, providing a solution that enables global merchants to offer localized shopping experiences based on the user's location.

The system adjusts local payment and settlement options in each country. Among other features, the system can customize site navigation and search, display final prices by converting exchange rates, duties, and additional taxes, and even assist companies in managing shipping and returns, thereby expanding their activities in international markets.

The company employs 800 people globally, half of whom are in Israel, located in the central region of the country, and supports remote work two days a week. It invests in employee well-being, offering a fitness room and classes in the office, as well as stock options.

The role involves being part of the team as a Data Engineer focusing on infrastructure, building and maintaining Data pipelines. Responsibilities include Python coding, working in an AWS environment, utilizing tools like Debezium, Kafka, Postgres, SQL Server, Couchbase, and Mongo.

Responsibilities

• Designing and implementing infrastructure.

• Monitoring and optimizing the performance.

• Automating the deployment process.

• Maintaining and updating infrastructure and applications.

• Providing troubleshooting and debugging support.

Requirements

• 5 years of experience in a similar role.

• Experience with infrastructure automation.

• Experience with coding/scripting languages.

• Experience with Git and version control.

• Experience with cloud platforms such as AWS or Google Cloud.

• Experience with different types of databases such

• Experience with Data pipelines and tools