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.
מלאה
23,000-32,000 ₪
We're seeking a Data Engineer to architect and develop sophisticated data solutions using advanced Spark, PySpark, Databricks and EMR implementations in our mission to transform the cyber-security breach readiness and response market.
Join us in crafting cutting-edge solutions for the cyber world using Spark/PySpark ETLs and data flow processes. Dive into the realm of multi-Cloud environments while collaborating closely with investigators to fine-tune PySpark performance. Harness the power of top-notch technologies like Databricks to elevate our technical projects, scaling them for efficiency. Embrace innovation as you research and implement new techniques. Evolve with us as a key member of the R&D team.
Technical Impact:
Design and implement complex data processing architectures for cloud security analysis.
Optimize and scale critical PySpark workflows across multi-cloud environments.
Develop innovative solutions for processing and analyzing massive security datasets.
Drive technical excellence through sophisticated ETL implementations.
Contribute to architectural decisions and technical direction.
Core Responsibilities:
Build robust, scalable data pipelines for security event processing.
Optimize performance of large-scale PySpark operations.
Implement advanced data solutions using Databricks and cloud-native technologies.
Research and prototype new data processing methodologies.
Provide technical guidance and best practices for data engineering initiatives.
Location: Tel Aviv, IL.
Hybrid work environment.
Join us in crafting cutting-edge solutions for the cyber world using Spark/PySpark ETLs and data flow processes. Dive into the realm of multi-Cloud environments while collaborating closely with investigators to fine-tune PySpark performance. Harness the power of top-notch technologies like Databricks to elevate our technical projects, scaling them for efficiency. Embrace innovation as you research and implement new techniques. Evolve with us as a key member of the R&D team.
Technical Impact:
Design and implement complex data processing architectures for cloud security analysis.
Optimize and scale critical PySpark workflows across multi-cloud environments.
Develop innovative solutions for processing and analyzing massive security datasets.
Drive technical excellence through sophisticated ETL implementations.
Contribute to architectural decisions and technical direction.
Core Responsibilities:
Build robust, scalable data pipelines for security event processing.
Optimize performance of large-scale PySpark operations.
Implement advanced data solutions using Databricks and cloud-native technologies.
Research and prototype new data processing methodologies.
Provide technical guidance and best practices for data engineering initiatives.
Location: Tel Aviv, IL.
Hybrid work environment.
Requirements:
Preferred Qualifications:
Experience with security-focused data solutions.
Deep expertise with Splunk and AWS services (S3, SQS, SNS, Stream).
Advanced understanding of distributed systems.
Strong Linux systems knowledge.
Experience with real-time data processing architectures.
Who You Are:
4+ years of hands-on data engineering experience in cloud-based SaaS environments.
Deep expertise in PySpark, Python, and SQL optimization.
Advanced knowledge of AWS, Azure, and GCP cloud architectures.
Proven track record implementing production-scale data systems.
Extensive experience with distributed computing and big data processing.
Strong collaboration skills and technical communication abilities.
Preferred Qualifications:
Experience with security-focused data solutions.
Deep expertise with Splunk and AWS services (S3, SQS, SNS, Stream).
Advanced understanding of distributed systems.
Strong Linux systems knowledge.
Experience with real-time data processing architectures.
Who You Are:
4+ years of hands-on data engineering experience in cloud-based SaaS environments.
Deep expertise in PySpark, Python, and SQL optimization.
Advanced knowledge of AWS, Azure, and GCP cloud architectures.
Proven track record implementing production-scale data systems.
Extensive experience with distributed computing and big data processing.
Strong collaboration skills and technical communication abilities.
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 • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
פתח תקווה
הרצליה
ערב
7 חודשים
סבסוד
