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 סייבר

תל אביב - יפו

חברה בתחום סייבר

תל אביב - יפו
מלאה

Required Data Engineer
Main responsibilities:
Provide the direction of our data architecture. Determine the right tools for the right jobs. We collaborate on the requirements and then you call the shots on what gets built.
Manage end-to-end execution of high-performance, large-scale data-driven projects, including design, implementation, and ongoing maintenance.
Monitor and optimize our (teams) cloud costs.
Design and construct monitoring tools to ensure the efficiency and reliability of data processes.

Requirements:
3+ Years of Experience in data engineering and big data. - Must
Experience in working with different databases (SQL, Snowflake, Impala, PostgreSQL)  Must
Experience in programming languages (Python, OOP Languages) Must
Experience with Data modeling, ETL development, data warehousing  Must
Experience with building both batch and streaming data pipelines using PySpark  Big Advantage
Experience in Messaging systems (Kafka, RabbitMQ etc) Big Advantage
Experience working with any of the major cloud providers: Azure, Google Cloud , AWS)  Big Advantage
Creating and Maintaining Microservices data processes - Big Advantage
Basic knowledge in DevOps concepts (Docker, Kubernetes, Terraform) Advantage
Experience in Design Patterns concepts Advantage
Our stack: Azure, GCP, Databricks, Snowflake, Airflow, RDBMS, Spark, Kafka, Kubernetes, Micro-Services, Python, SQL
Your stack: Proven strong back-end software engineering skills, ability to think for yourself and challenge common assumptions, commit to high-quality execution and embrace collaboration.

This position is open to all candidates.