עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!

במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.

מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.

Data Engineer

Gotfriends

תל אביב - יפו

Data Engineer

Gotfriends

תל אביב - יפו
היברידית
35,000-55,000 ₪ (הערכה מבוססת AI)
זוהי הערכת טווח שכר מבוססת AI ולא פרסום של המעסיק

Startup company in the Creative Technology domain, the company’s strategy focuses on providing a comprehensive solution for content creators of all types and skill levels—ranging from video editors and social media influencers to YouTubers—who have become its fastest-growing user base.

The company revolutionized the digital media licensing industry by introducing a unique subscription model with unlimited licensing, allowing customers to access unrestricted high-quality content without compromising on media standards.

Founded in 2016 and headquartered in Tel Aviv (near a light rail station), the company offers a hybrid work model and employs around 420 people globally, including approximately 300 in Israel. It develops and operates multiple subscription-based platforms for digital assets and serves over 20 million customers worldwide.

The role involves being part of a 6-person Data Infrastructure team, reporting to the Team Lead.

Tech stack includes Python, Airflow, AWS, Snowflake, Spark, Redis, and Kafka.

Requirements:

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.