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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
22,000-32,000 ₪
We are looking for an Experienced Big Data Engineer who loves solving complex problems at an extreme scale. In this role, you arent just building "internal pipelines"-you are developing the actual product our clients interact with. You will write high-performance code, optimize your own Spark processes for client freshness, and own features end-to-end. We need a "problem solver by nature, optimizer in their soul" who brings both technical depth and a great personality to a high-speed, deep technical team.
What youll do:
Build Client-Facing Features: Design and implement high-scale product features for our premium clients - from architecture to production deployment.
Performance Engineering: Optimize scalable data pipelines and distributed processes to meet strict client SLAs. Every millisecond of freshness matters.
System Integrity: Ensure uncompromising data accuracy and performance across massive, complex datasets.
Strategic Collaboration: Partner with upstream data providers, client-side teams, and Product Managers to turn raw events into production-grade features.
What youll do:
Build Client-Facing Features: Design and implement high-scale product features for our premium clients - from architecture to production deployment.
Performance Engineering: Optimize scalable data pipelines and distributed processes to meet strict client SLAs. Every millisecond of freshness matters.
System Integrity: Ensure uncompromising data accuracy and performance across massive, complex datasets.
Strategic Collaboration: Partner with upstream data providers, client-side teams, and Product Managers to turn raw events into production-grade features.
Requirements:
What you have
The Foundation: B.Sc. in Computer Science or an equivalent.
Relevant Track Record: 3+ years in Big Data Engineering (Backend experience is a plus, provided youve worked at scale).
Spark Mastery: 1+ years of deep, hands-on experience with Spark (or equivalent). You should understand "under the hood" complexities like memory management and execution plans.
Engineering Craft: Strong programming skills (Ideally Scala) with a deep understanding of distributed programming paradigms. You write clean, production-ready code that is optimized for execution across large-scale clusters.
The Scale Mindset: A natural obsession with high-scale problem solving and system optimization.
The Right DNA: A pragmatic, ownership-driven mindset with a personality that thrives in a collaborative environment.
Bonus points
Spark UI Sensei: Expertise in Spark UI analysis and performance tuning.
Scala Pro: Advanced expertise in Scala.
Modern Stack: Experience with Airflow, EMR-Serverless.
Serving Layer: Experience with BigQuery as a high-performance serving layer.
Functional Roots: Backend experience in functional or concurrent languages (Scala, Go, or Clojure).
Domain Knowledge: Exposure to marketing measurement or AdTech.
The AF Connection: Recommended by our employee.
What you have
The Foundation: B.Sc. in Computer Science or an equivalent.
Relevant Track Record: 3+ years in Big Data Engineering (Backend experience is a plus, provided youve worked at scale).
Spark Mastery: 1+ years of deep, hands-on experience with Spark (or equivalent). You should understand "under the hood" complexities like memory management and execution plans.
Engineering Craft: Strong programming skills (Ideally Scala) with a deep understanding of distributed programming paradigms. You write clean, production-ready code that is optimized for execution across large-scale clusters.
The Scale Mindset: A natural obsession with high-scale problem solving and system optimization.
The Right DNA: A pragmatic, ownership-driven mindset with a personality that thrives in a collaborative environment.
Bonus points
Spark UI Sensei: Expertise in Spark UI analysis and performance tuning.
Scala Pro: Advanced expertise in Scala.
Modern Stack: Experience with Airflow, EMR-Serverless.
Serving Layer: Experience with BigQuery as a high-performance serving layer.
Functional Roots: Backend experience in functional or concurrent languages (Scala, Go, or Clojure).
Domain Knowledge: Exposure to marketing measurement or AdTech.
The AF Connection: Recommended by our employee.
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.
הרצליה
הרצליה
ערב
7 חודשים
סבסוד
