Perion is a global advertising technology company delivering solutions to the biggest brands and publishers around the globe across search, social media and display, video and CTV.

Home to an award-winning technology solution –– with our unique data-driven AI/ML based technologies, we deliver and optimize hundreds of terabytes of data and billions of events per day. We're working with dozens of sources to provide a superior experience across screens and platforms, including mobile, video, social and native.

Perion is a global technology company that provides digital advertising technology solutions to the biggest brands and publishers around the globe.

With our unique data-driven AI/ML based technologies, we deliver and optimize hundreds of terabytes of data and billions of events per day from dozens of sources to provide a superior user experience across screens and platforms, including mobile, video, social and native.

We are looking for a highly enthusiastic Data Engineer to join our group to the journey of leveraging Big Data to revolutionize our offering, business operations and decision making across the company's ecosystem.

Job Responsibilities:

• Design, build & deploy backend data solutions to prod, starting from research and design to development and testing.
• Work closely with data engineers, product, architects and other R&D teams to deliver the best solutions to the business.
• Monitor the solutions in production to make sure they are fully stable, scalable and performant at all times.
• Work closely with data sciences experts

Profile and Experience:

• Familiarity with big data solutions and frameworks in production (Spark, Flink, Hive etc.) – mandatory
• Solid knowledge in Python and Linux operating systems – mandatory
• Proven ability of writing complex SQL queries – mandatory
• Strong analytical and problem-solving skills with attention to details - mandatory
• Production grade experience of writing spark applications using Scala - a big advantage
• Experience with Apache Airflow and AWS tools (EMR, Docker, K8S) – a big advantage
• Familiarity with the Ad Tech industry and RTB – a big advantage
• Experience with data science algorithms – an advantage
• Experience with Amazon Redshift, Tableau – an advantage
• Extensive experience in OOP, Unit testing/TDD, continuous Deployment – an advantage
• Familiarity with at least one of the following technologies: Java , NodeJS - an advantage
• Fluent verbal and written English skills required