Data Engineer

Kaltura’s mission is to power any video experience for any organization.
Kaltura is the video experience cloud, powering communication, collaboration,
learning, and entertainment. Kaltura’s products are used by over 1,000 global
enterprises, media companies, service providers, and educational institutions,
engaging more than a hundred million viewers at home, at work, and at school.

Our core values are openness, flexibility, and collaboration. We like to think
of ourselves as a cool, fun, and talented group of professionals looking to
create cutting-edge technology. Kaltura is a fast-paced environment where
standards are high, and initiative is always encouraged. Kaltura has over 600
employees worldwide with offices in New York, London, Singapore, and Tel Aviv.
We are growing rapidly and have many exciting open positions all over the
world. We promote a flexible work environment that encourages work-life-
balance, internal mobility and relocation, community involvement, LGBTQ
rights, a refer-a-friend program, and a newly launched paternity leave policy.

If you don't meet 100% of the requirements below – that's okay, nobody's
perfect! We believe in hiring people, not just a list of skills. We encourage
you to apply if you think this is a role that would make you excited about
coming to work every day.

Requirements

We are looking for a data engineer to join our innovative and exciting R&D
team!

Responsibilities

* Implement analytics data pipeline for customer interactions
* Develop application and components
* Build integration for multiple data sources
* Design and take data product from prototype to production
* Help design and implement machine learning/data science solutions

Qualifications

* BSc/MSc degree in computer science or related fields
* 4+ years experience as a developer
* Knowledge of Python/Scala/Go
* Knowledge of SQL
* Experience working with Kafka
* Experience with Spark/Flink/Beam or similar
* Experience building data pipelines
* Experience with SQL and NoSQL databases (MySQL, Druid,
* Experience working in cloud environments (AWS/ GCP etc.)
* Experience in building machine learning solutions is a big plus
* Experience building customer engagement pipelines is a big plus

מספר משרה: 8667

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