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.
Overview
Security represents the most critical priority for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We aim to reshape security and empower every user, customer, and developer with a security cloud that protects them through end-to-end, simplified solutions.
Israel is one of Microsoft's security centers of excellence, leading innovation and defense against cyber threats. With over 60 of the site focused on security, our teams develop advanced solutions using cloud, big data, AI, and modern UX, protecting millions worldwide and driving global cybersecurity advancements.
Our team of dedicated Data Engineers delivers comprehensive data engineering solutions that drive security insights for Microsoft Security. We focus on creating scalable data pipelines, implementing advanced analytics, and utilizing AI-powered anomaly detection to inform strategic decisions throughout the Security organization.
We are seeking a Senior Data Engineer who will collaborate with business leaders, product managers, data scientists, and analysts to develop data pipelines, datasets, data lakes, AI agents, and metrics. In this role, you will help answer key questions about our business performance and provide actionable data to support our continued growth.
Responsibilities
Design, develop, and maintain data pipelines, ETL workflows, and back-end services for real-time decisioning, reporting, optimization, data collection, and related functions.
Develop AI \ ML workflows to support queries and automate data driven processes.
Experiment with and recommend new technologies that simplify or improve the tech stack.
Participate in an on-call rotation and work occasional off-hours.
Mentor data engineers, guide complex design decisions, and foster a culture of engineering excellence, and continuous learning across the organization.
Qualifications
Bachelor’s degree or master’s degree in computer science, Math, Software Engineering, Computer Engineering, or related field
You have at least 6+ years’ experience in business analytics, data science, data modelling OR/AND Data Engineering work.
Preferred qualifications:
Architecting, building, and maintaining end-to-end, high-throughput data systems and their supporting services.
Designing efficient data structures and database schemas and working with distributed systems architecture.
Experience working with large data sets using SQL/Azure Data Lake/Spark/Data bricks, etc., to derive actionable insights is highly desirable.
Experience in Building AI \ ML-OPS tools for data platforms.
Developing for continuous integration and automated deployments.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.
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 Data Engineer - Platform Team
כמהנדס/ת נתונים בכיר/ה בצוות הפלטפורמה במיקרוסופט, תהיה/תהיי אחראי/ת על תכנון, פיתוח ותחזוקה של צינורות נתונים (data pipelines), תהליכי ETL ושירותי קצה אחורי (back-end services) לקבלת החלטות בזמן אמת, דיווח, אופטימיזציה ואיסוף נתונים. התפקיד כולל גם פיתוח תהליכי עבודה של AI/ML, המלצה על טכנולוגיות חדשות וחניכת מהנדסי נתונים אחרים.
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