Artlist Infra Data Engineer 

Israel, Tel Aviv District, Tel Aviv-Yafo 

831089762

We do this by giving them the best music, footage, sound effects, and templates around. We also revolutionized the industry with a radical new music licensing model that has since become the global standard.

Our products:

• Artlist: an all-in-one platform for video creation, including high-quality and curated royalty-free music, SFX, footage, templates, plugins, and more.
• Motion Array: the ultimate destination for creators, including high-quality video templates by the world’s top motion designers, presets, plugins, music, SFX, stock footage, graphics for design, motion graphics, and stock photos.

In this crucial role, you will take part in building our next-generation data platform that will advance

You will work with cutting-edge technologies and build a solid foundation of athat will serve the company’s internal and external sources and eventually enable the business stakeholders to make decisions based on accurate and enriched data.

Wake up for this:

• End-to-end development of the company data infrastructure.
• Build and design high-performance, real-time/near real-time streaming data pipelines incorporating current and new data stack tools such as Airflow, AWS, Snowflake, Spark, Redis, and Kafka.
• Build and design an autonomous platform that will produce data that will be served by multiple consumers 3rd parties and internal.
• Build and design a self-recovery platform that will reduce downtime to a minimum.

• 4+ years of experience in data engineering or backend engineering roles - must.
• Proven experience in designing and building real-time events platform solution-must .
• Strong knowledge of backend programming languages such as Python, Java, Scala, or similar - must.
• Deep knowledge and strong experience deploying distributed data technologies and systems (Spark, Kafka, airflow, or similar) - must.
• Strong and proven knowledge of working with data lakes, lakehouses, and data warehouses in the cloud (Snowflake or similar).
• Advanced proficiency in working with SQL / NoSQL databases.
• Strong experience with ETL/ELT processes, data ingestion, data transformation, data modeling, and monitoring.