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.
Who We Are
Our team is responsible for the data and data infrastructure that processes billions of records daily, driving critical business insights for both internal and external customers across the organization.
Our Data team consists of highly skilled senior software and data professionals who collaborate to solve complex data challenges. We process billions of records daily from multiple sources using diverse infra and multi-stage pipelines with intricate data structures and advanced queries, and complex BI.
A bit about our infrastructure. Our main databases are Snowflake, Iceberg on AWS, and Trino. Spark on EMR processes the huge influx of data. Airflow does most of the ETL.
The data we deliver drives insights both for internal and external customers. Our internal customers use it routinely for decision-making across the organization, such enhancing our product offerings.
What You’ll Do:
Build, maintain, and optimize data infrastructure.
Contribute to the evolution of our AWS-based infrastructure.
Work with database technologies – Snowflake, Iceberg, Trino, Athena, and Glue.
Utilize Airflow, Spark, Kubernetes, ArgoCD and AWS.
Provide AI tools to ease data access for our customers.
Integrate external tools such as for anomaly detection or data sources ingestion.
Use AI to accelerate your development.
Assures the quality of the infra by employed QA automation methods.
Who You Are:
5+ years of experience as a Data Engineer, or Backend Developer.
Experience with Big Data and cloud-based environments, preferably AWS.
Experience with Spark and Airflow.
Experience with Snowflake, Databrick, BigQuery or Iceberg.
Strong development experience in Python.
Knowledge of Scala for Spark is a plus.
A team player that care about the team, the service, and his customers
Strong analytical skills
#LI-SL1
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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.
שאלות ותשובות עבור משרת Senior Infra Data Engineer
כ-Senior Infra Data Engineer ב-Cloudinary, תהיה אחראי על בנייה, תחזוקה ואופטימיזציה של תשתית הנתונים, תוך תרומה לפיתוח התשתית מבוססת AWS של החברה. התפקיד כולל עבודה עם טכנולוגיות מסדי נתונים כמו Snowflake, Iceberg, Trino, Athena ו-Glue, וכן שימוש ב-Airflow, Spark, Kubernetes, ArgoCD ו-AWS.
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