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 • אלפי משרות חדשות בכל יום
חינם. בלי פרסומות. בלי אותיות קטנות.
מלאה
18,000-27,000 ₪
We are looking for a hands-on Data Engineer to join engineering team and take ownership of core data processes within one of our product teams.
You will design and maintain reliable ETL pipelines, connect to external data sources, and help build scalable data foundations for product features, analytics, and AI-driven capabilities. This is a great opportunity to own meaningful data processes end-to-end and work closely with product, engineering, and data stakeholders.
Your Ownership Will Include
Design, build, and maintain end-to-end ETL pipelines for production use.
Work with large-scale cloud usage data from different sources and formats.
Build data flows using Apache Spark and Databricks or similar technologies.
Structure data using Data Lake / Lakehouse concepts, including Bronze, Silver, and Gold layers.
Integrate with external APIs and data sources.
Prepare and model data for product features, analytics, and AI-related capabilities.
Ensure data quality, reliability, and observability across pipelines.
Collaborate closely with backend engineers, data analysts, and product stakeholders.
You will design and maintain reliable ETL pipelines, connect to external data sources, and help build scalable data foundations for product features, analytics, and AI-driven capabilities. This is a great opportunity to own meaningful data processes end-to-end and work closely with product, engineering, and data stakeholders.
Your Ownership Will Include
Design, build, and maintain end-to-end ETL pipelines for production use.
Work with large-scale cloud usage data from different sources and formats.
Build data flows using Apache Spark and Databricks or similar technologies.
Structure data using Data Lake / Lakehouse concepts, including Bronze, Silver, and Gold layers.
Integrate with external APIs and data sources.
Prepare and model data for product features, analytics, and AI-related capabilities.
Ensure data quality, reliability, and observability across pipelines.
Collaborate closely with backend engineers, data analysts, and product stakeholders.
Requirements:
3+ years of experience as a Data Engineer or in a similar data development role.
Proven experience building production ETL pipelines end-to-end.
Hands-on experience with Apache Spark, preferably PySpark or Scala.
Experience with Databricks or a similar data processing platform.
Strong understanding of Data Lake / Lakehouse architecture and data modeling.
Experience integrating with external APIs and multiple data sources.
Strong programming skills in Python, Scala, Java, or a similar language.
Understanding of data quality, monitoring, validation, and pipeline reliability.
Ability to work independently, take ownership, and collaborate effectively.
Good communication skills in English.
3+ years of experience as a Data Engineer or in a similar data development role.
Proven experience building production ETL pipelines end-to-end.
Hands-on experience with Apache Spark, preferably PySpark or Scala.
Experience with Databricks or a similar data processing platform.
Strong understanding of Data Lake / Lakehouse architecture and data modeling.
Experience integrating with external APIs and multiple data sources.
Strong programming skills in Python, Scala, Java, or a similar language.
Understanding of data quality, monitoring, validation, and pipeline reliability.
Ability to work independently, take ownership, and collaborate effectively.
Good communication skills in English.
This position is open to all candidates.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • אלפי משרות חדשות בכל יום
חינם. בלי פרסומות. בלי אותיות קטנות.
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