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.

חברה בתחום אינטרנט ודיגיטל

תל אביב - יפו

חברה בתחום אינטרנט ודיגיטל

תל אביב - יפו
מלאה
35,000-50,000 ₪ הערכה מבוססת AI ולא שכר שהתקבל מהמעסיק
זוהי הערכת טווח שכר מבוססת AI ולא שכר שהתקבל מהמעסיק

Were looking for a Data Engineer for the Insight Team to join Lushas Data Group and a new team responsible for developing innovative features based on multiple layers of data. These features will power recommendation systems, insights, and more. This role involves close collaboration with the core teams within the Data Group, working on diverse data pipelines that tackle challenges related to scale and algorithmic optimization, all aimed at enhancing the data experience for Lushas customers.
What will you be responsible for?
Develop and implement robust, scalable data pipelines and integration solutions within Lushas Databricks-based environment.
Develop models and implement algorithms, with a strong emphasis on delivering high-quality results.
Leverage technologies like Spark, Kafka, and Airflow to tackle complex data challenges and enhance business operations.
Design innovative data solutions that support millions of data points, ensuring high performance and reliability.

Requirements:
3+ years of hands-on experience in data engineering, including building and optimizing scalable data pipelines
5+ years of experience as a software developer, preferably in Python
Strong algorithmic background, including: Development and optimization of machine learning models, Implementation of advanced data algorithms
Experience working with cloud ecosystems, preferably AWS (S3, Glue, EMR, Redshift, Athena) or equivalent platforms (Azure, GCP)
Expertise in extracting, ingesting, and transforming large-scale datasets in an efficient and reliable manner
Deep knowledge of big data platforms such as: Apache Spark, Databricks, Elasticsearch, and Kafka particularly for real-time data streaming and processing
(Nice-to-have) Hands-on experience working with Vector Databases and embedding techniques, with a focus on search, recommendations, and personalization.
AI-savvy: comfortable working with AI tools and staying ahead of emerging trends.

This position is open to all candidates.