Wix makes it possible for anyone to succeed online. Since 2006 weve grown to around 5300 employees in 22 countries launched over 40 products and serve over 282 million users and their visitors worldwide. At Wix we push you to innovate evolve in non-traditional ways and collaborate. We operate in small teams that work closely together at a high level.
Although were already industry leaders in web creation and business our work is nowhere near done. Our goal is to become the main engine of the Internet so we can create a more open web for all.
Were proud to be an equal opportunity employer. Wix was built around the idea that everyone has the right to be successful online. This same vision defines us as an employer: creating a work environment where everyone is welcome and anyone has the right to succeed.
Qualifications :
3 years of experience as a data engineer or backend developer
Expertise in Python Airflow Spark/Flink/Kafka and cloud architecture (AWS services k8s and more)
Proficiency in writing complex SQL queries and data pipelines for big data processing
Strong problem-solving skills and the ability to work and learn independently
Team player with excellent communication skills
Experience implementing AI-driven components an advantage
Additional Information :
We are Wixs Data Infrastructure group the driving force behind Wixs data engineering platform one of the most extensive commercial data operations in the tech industry. Each day we capture process analyze and serve tens of billions of events generated by millions of people worldwide. We build the infrastructure and tools that enable the rest of Wix and its users to access explore and analyze this data to make data-driven decisions as well as build smarter data-driven products. We do this by empowering our engineers to be responsible for the entire product lifecycle from ideation to production. We value engineering excellence and quality and are constantly looking for ways to learn and improve.
The Data Automation team specializes in building generic tools and velocity enhancers. We are responsible for building automated tools for data professionals such as the DWH automation for table creation a data quality framework (based on Great Expectation OS) a data catalog (based on OpenMetaData OS) and addition we provide solutions for data consumers such as product managers to enable easy exploration of the data across different groups at Wix.
Remote Work :
No
Employment Type :
Full-time
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